{"type": "FeatureCollection", "features": [{"id": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:53Z", "type": "Journal Article", "created": "2020-08-12", "title": "CLASSIFICATION OF UAV-BASED PHOTOGRAMMETRIC POINT CLOUDS OF RIVERINE SPECIES USING MACHINE LEARNING ALGORITHMS: A CASE STUDY IN THE PALANCIA RIVER, SPAIN", "description": "<p>Abstract. The management of riverine areas is fundamental due to their great environmental importance. The fast changes that occur in these areas due to river mechanics and human pressure makes it necessary to obtain data with high temporal and spatial resolution. This study proposes a workflow to map riverine species using Unmanned Aerial Vehicle (UAV) imagery. Based on RGB point clouds, our work derived simple geometric and spectral metrics to classify an area of the public hydraulic domain of the river Palancia (Spain) in five different classes: Tamarix gallica L. (French tamarisk), Pinus halepensis Miller (Aleppo pine), Arundo donax L. (giant reed), other riverine species and ground. A total of six Machine Learning (ML) methods were evaluated: Decision Trees, Extra Trees, Multilayer Perceptron, K-Nearest Neighbors, Random Forest and Ridge. The method chosen to carry out the classification was Random Forest, which obtained a mean score cross-validation close to 0.8. Subsequently, an object-based reclassification was done to improve this result, obtaining an overall accuracy of 83.6%, and individually a producer\uffe2\uff80\uff99s accuracy of 73.8% for giant reed, 87.7% for Aleppo pine, 82.8% for French tamarisk, 93.5% for ground and 80.1% for other riverine species. Results were promising, proving the feasibility of using this cost-effective method for periodic monitoring of riverine species. In addition, the proposed workflow is easily transferable to other tasks beyond riverine species classification (e.g., green areas detection, land cover classification) opening new opportunities in the use of UAVs equipped with consumer cameras for environmental applications.                     </p>", "keywords": ["Technology", "Point cloud classification", " UAV", " Structure from Motion", " Random forest", " Riverine species", "T", "UAV", "0211 other engineering and technologies", "02 engineering and technology", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "Structure from Motion", "TA1501-1820", "13. Climate action", "INGENIERIA CARTOGRAFICA", " GEODESIA Y FOTOGRAMETRIA", "Applied optics. Photonics", "Riverine species", "TA1-2040", "Point cloud classification", "Random forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://isprs-archives.copernicus.org/articles/XLIII-B2-2020/659/2020/isprs-archives-XLIII-B2-2020-659-2020.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-659-2020"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "name": "item", "description": "10.5194/isprs-archives-XLIII-B2-2020-659-2020", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-XLIII-B2-2020-659-2020"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2020-08-12T00:00:00Z"}}, {"id": "10.5194/isprs-archives-XLII-3-1263-2018", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:53Z", "type": "Journal Article", "created": "2018-05-01", "title": "IMPROVING LAND COVER MAPPING: A MOBILE APPLICATION BASED ON ESA SENTINEL 2 IMAGERY", "description": "<p>Abstract. The increasing availability of satellite data is a real value for the enhancement of environmental knowledge and land management. Possibilities to integrate different source of geo-data are growing and methodologies to create thematic database are becoming very sophisticated. Moreover, the access to internet services and, in particular, to web mapping services is well developed and spread either between expert users than the citizens. Web map services, like Google Maps or Open Street Maps, give the access to updated optical imagery or topographic maps but information on land cover/use \uffe2\uff80\uff93 are not still provided. Therefore, there are many failings in the general utilization \uffe2\uff80\uff93non-specialized users- and access to those maps. This issue is particularly felt where the digital (web) maps could form the basis for land use management as they are more economic and accessible than the paper maps. These conditions are well known in many African countries where, while the internet access is becoming open to all, the local map agencies and their products are not widespread.                     </p>", "keywords": ["Tanzania; Kenya; Crowd-generating data; Rift Valley; Fluoride; Sentinel", "Technology", "T", "11. Sustainability", "0211 other engineering and technologies", "Applied optics. Photonics", "02 engineering and technology", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "TA1501-1820", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/245765/1/isprs-archives-XLII-3-1263-2018.pdf"}, {"href": "https://isprs-archives.copernicus.org/articles/XLII-3/1263/2018/isprs-archives-XLII-3-1263-2018.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-XLII-3-1263-2018"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-XLII-3-1263-2018", "name": "item", "description": "10.5194/isprs-archives-XLII-3-1263-2018", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-XLII-3-1263-2018"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2018-04-30T00:00:00Z"}}, {"id": "10.5194/isprs-archives-XLII-4-W2-121-2017", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:53Z", "type": "Journal Article", "created": "2017-07-17", "title": "FLOWERED-GEODBAPP: AN APPLICATION BASED ON CROWD-GENERATING DATA USING SENTINEL2 IMAGERY", "description": "<p>Abstract. This study is part of the EU H2020 research Project FLOWERED (de-FLuoridation technologies for imprOving quality of WatEr and agRo-animal products along the East African Rift Valley in the context of aDaptation to climate change). FLOWERED project aims to develop technologies and methodologies at cross-boundary catchment scales to manage the risks associated with high Fluoride water supply in Africa, focusing on three representative test areas along the African Rift Valley (i.e. Ethiopia, Kenya and Tanzania), characterized by high fluoride contents in waters and soils, water scarcity, overexploitation of groundwater and high vulnerability to risks arising from climate change, as drought and desertification. It also is empowering local communities to take responsibility for the integrated-sustainability of the natural resources, growing national and international environmental priorities, enhancing transboundary cooperation and promoting local ownership based on a scientific and technological approach.  Within the FLOWERED project, the transition from the land cover to the land use and water use maps is provided through the development of a mobile application (FLOWERED-GeoDBapp ). It is dedicated to the collection of local geo-information on land use, water uses, irrigation systems, household features, use of drinking water and the other information needful for the specific knowledge of water supply involving local communities through participative approach. This system is structured to be populated, through an action of crowd-generating data by local communities (students and people involved mainly by NGOs). The SHAREGEODBapp is proposed as an innovative tool for water management and agriculture institutions at regional and local level.                     </p>", "keywords": ["2. Zero hunger", "Technology", "Land cover", " ESA Sentinel", " Crowd-generating data", " Rift Valley", " Fluoride", "T", "0207 environmental engineering", "1. No poverty", "02 engineering and technology", "15. Life on land", "Engineering (General). Civil engineering (General)", "01 natural sciences", "6. Clean water", "TA1501-1820", "12. Responsible consumption", "13. Climate action", "11. Sustainability", "Applied optics. Photonics", "TA1-2040", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://iris.unica.it/bitstream/11584/219983/1/FOSS4G-EU_2017_paper_31%20%283%29.pdf"}, {"href": "https://isprs-archives.copernicus.org/articles/XLII-4-W2/121/2017/isprs-archives-XLII-4-W2-121-2017.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-XLII-4-W2-121-2017"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-XLII-4-W2-121-2017", "name": "item", "description": "10.5194/isprs-archives-XLII-4-W2-121-2017", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-XLII-4-W2-121-2017"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-07-05T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlii-2-w17-143-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:53Z", "type": "Journal Article", "created": "2019-11-29", "title": "3DMOVER 2.0 \u2013 LOW-COST APPLICATION FOR USABILITY TESTING OF 3D GEOVISUALISATIONS", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Three-dimensional (3D) visualisations of geospatial data have become very popular in the last years. Various applications and tools are based on interactive 3D geovisualisations. However, the user aspects of these 3D geovisualisations are not yet fully understood. While several studies have focused on how users work with these 3D geovisualisations, only few studies focus directly on interactive 3D geovisualisations and employ usability research methods like screen logging. This method enables the objective recording of movement in 3D virtual environments and of user interactions in general. Therefore, we created a web-based research tool: a 3D Movement and Interaction Recorder (3DmoveR). This tool is based on the user logging method, combined with a digital questionnaire and practical spatial tasks. The design and implementation of this tool follow the spiral model, and its current version is 2.0. It is implemented using open web technologies such as PHP, JavaScript, and the Three.js library. After building this tool, we verified it through load testing and a simple pilot test verifying accessibility. We continued to describe the first deployment of 3DmoveR 2.0 in a real user study. The future modifications and applications of 3DmoveR 2.0 are discussed in the conclusion section. Attention was paid to future deployment during user testing outside controlled (laboratory) conditions.                     </p></article>", "keywords": ["Technology", "T", "05 social sciences", "0211 other engineering and technologies", "0507 social and economic geography", "Applied optics. Photonics", "02 engineering and technology", "TA1-2040", "Engineering (General). Civil engineering (General)", "TA1501-1820"], "contacts": [{"organization": "Herman, L.", "roles": ["creator"]}]}, "links": [{"href": "https://isprs-archives.copernicus.org/articles/XLII-2-W17/143/2019/isprs-archives-XLII-2-W17-143-2019.pdf"}, {"href": "https://doi.org/10.5194/isprs-archives-xlii-2-w17-143-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlii-2-w17-143-2019", "name": "item", "description": "10.5194/isprs-archives-xlii-2-w17-143-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlii-2-w17-143-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-29T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlii-3-w6-9-2019", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:53Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlii-3-w6-9-2019", "name": "item", "description": "10.5194/isprs-archives-xlii-3-w6-9-2019", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlii-3-w6-9-2019"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "10.5194/isprs-archives-xlviii-m-1-2023-309-2023", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:53Z", "type": "Journal Article", "created": "2023-04-21", "title": "SELF-SUPERVISED LEARNING FOR CROP CLASSIFICATION USING PLANET FUSION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Benefiting from the high cadence and spatial resolution of the new generation of Earth observation satellites, remote sensing technology is allowing us to derive more valuable information for the agricultural sector. Crop classification is one of the fundamental information derivatives from Earth observation data researchers used for food security, crop monitoring, and economic assessment. The robustness of a crop classification model to variations in environmental and management conditions due to time and location is one of the crucial requirements. To achieve this, we developed a novel self-supervised method using the advantage of unlabeled samples and transformer architectures. We used six different areas in Germany and four years to evaluate the robustness of the model. Our experiments showed that self-supervised deep learning methods could provide a significant advantage in handling these variations. In some cases, we observed around 30 percentage points improvements in F1-score performance compared to a Random Forest based model.                     </p></article>", "keywords": ["2. Zero hunger", "Technology", "T", "0211 other engineering and technologies", "Applied optics. Photonics", "02 engineering and technology", "15. Life on land", "TA1-2040", "Engineering (General). Civil engineering (General)", "01 natural sciences", "TA1501-1820", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.5194/isprs-archives-xlviii-m-1-2023-309-2023"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprs-archives-xlviii-m-1-2023-309-2023", "name": "item", "description": "10.5194/isprs-archives-xlviii-m-1-2023-309-2023", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprs-archives-xlviii-m-1-2023-309-2023"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2023-04-21T00:00:00Z"}}, {"id": "10.5194/isprsarchives-XLI-B8-1023-2016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:21:53Z", "type": "Journal Article", "created": "2016-06-24", "title": "MONITORING OF IN-FIELD VARIABILITY FOR SITE SPECIFIC CROP MANAGEMENT THROUGH OPEN GEOSPATIAL INFORMATION", "description": "<p>Abstract. The agricultural sector is in a unique position due to its strategic importance around the world. It is crucial for both citizens (consumers) and the economy (both regional and global), which, ideally, should ensure that the whole sector is a network of interacting organisations. It is important to develop new tools, management methods, and applications to improve the management and logistic operations of agricultural producers (farms) and agricultural service providers. From a geospatial perspective, this involves identifying cost optimization pathways, reducing transport, reducing environmental loads, and improving the energy balance, while maintaining production levels, etc.  This paper describes the benefits of, and open issues arising from, the development of the Open Farm Management Information System. Emphasis is placed on descriptions of available remote sensing and other geospatial data, and their harmonization, processing, and presentation to users. At the same time, the FOODIE platform also offers a novel approach of yield potential estimations. Validation for one farm demonstrated 70% successful rate when comparing yield results at a farm counting 1\uffe2\uff80\uff99284 hectares on one hand and results of a theoretical model of yield potential on the other hand. The presented Open Farm Management Information System has already been successfully registered under Phase 8 of the Global Earth Observation System of Systems (GEOSS) Architecture Implementation Pilot in order to support the wide variety of demands that are primarily aimed at agriculture and water pollution monitoring by means of remote sensing.                     </p>", "keywords": ["2. Zero hunger", "Technology", "13. Climate action", "T", "8. Economic growth", "0401 agriculture", " forestry", " and fisheries", "Applied optics. Photonics", "04 agricultural and veterinary sciences", "TA1-2040", "15. Life on land", "Engineering (General). Civil engineering (General)", "TA1501-1820", "12. Responsible consumption"]}, "links": [{"href": "http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLI-B8/1023/2016/isprs-archives-XLI-B8-1023-2016.pdf"}, {"href": "https://doi.org/10.5194/isprsarchives-XLI-B8-1023-2016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.5194/isprsarchives-XLI-B8-1023-2016", "name": "item", "description": "10.5194/isprsarchives-XLI-B8-1023-2016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.5194/isprsarchives-XLI-B8-1023-2016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-06-24T00:00:00Z"}}, {"id": "2990883860", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:07Z", "type": "Journal Article", "created": "2019-11-29", "title": "3DMOVER 2.0 \u2013 LOW-COST APPLICATION FOR USABILITY TESTING OF 3D GEOVISUALISATIONS", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Three-dimensional (3D) visualisations of geospatial data have become very popular in the last years. Various applications and tools are based on interactive 3D geovisualisations. However, the user aspects of these 3D geovisualisations are not yet fully understood. While several studies have focused on how users work with these 3D geovisualisations, only few studies focus directly on interactive 3D geovisualisations and employ usability research methods like screen logging. This method enables the objective recording of movement in 3D virtual environments and of user interactions in general. Therefore, we created a web-based research tool: a 3D Movement and Interaction Recorder (3DmoveR). This tool is based on the user logging method, combined with a digital questionnaire and practical spatial tasks. The design and implementation of this tool follow the spiral model, and its current version is 2.0. It is implemented using open web technologies such as PHP, JavaScript, and the Three.js library. After building this tool, we verified it through load testing and a simple pilot test verifying accessibility. We continued to describe the first deployment of 3DmoveR 2.0 in a real user study. The future modifications and applications of 3DmoveR 2.0 are discussed in the conclusion section. Attention was paid to future deployment during user testing outside controlled (laboratory) conditions.                     </p></article>", "keywords": ["Technology", "T", "05 social sciences", "0211 other engineering and technologies", "0507 social and economic geography", "Applied optics. Photonics", "02 engineering and technology", "TA1-2040", "Engineering (General). Civil engineering (General)", "TA1501-1820"], "contacts": [{"organization": "Herman, L.", "roles": ["creator"]}]}, "links": [{"href": "https://isprs-archives.copernicus.org/articles/XLII-2-W17/143/2019/isprs-archives-XLII-2-W17-143-2019.pdf"}, {"href": "https://doi.org/2990883860"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2990883860", "name": "item", "description": "2990883860", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2990883860"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-11-29T00:00:00Z"}}, {"id": "10.60692/t1jsz-vm842", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:24:18Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/10.60692/t1jsz-vm842"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.60692/t1jsz-vm842", "name": "item", "description": "10.60692/t1jsz-vm842", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.60692/t1jsz-vm842"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}, {"id": "2966009560", "type": "Feature", "geometry": null, "properties": {"updated": "2026-07-25T16:26:05Z", "type": "Journal Article", "created": "2019-07-29", "title": "EVAPOTRANSPIRATION AND EVAPORATION/TRANSPIRATION RETRIEVAL USING DUAL-SOURCE SURFACE ENERGY BALANCE MODELS INTEGRATING VIS/NIR/TIR DATA WITH SATELLITE SURFACE SOIL MOISTURE INFORMATION", "description": "<?xml version='1.0' encoding='UTF-8'?><article><p>Abstract. Evapotranspiration is an important component of the water cycle. For the agronomic management and ecosystem health monitoring, it is also important to provide an estimate of evapotranspiration components, i.e. transpiration and soil evaporation. To do so, Thermal InfraRed data can be used with dual-source surface energy balance models, because they solve separate energy budgets for the soil and the vegetation. But those models rely on specific assumptions on raw levels of plant water stress to get both components (evaporation and transpiration) out of a single source of information, namely the surface temperature. Additional information from remote sensing data are thus required. This works evaluates the ability of the SPARSE dual-source energy balance model to compute not only total evapotranspiration, but also water stress and transpiration/evaporation components, using either the sole surface temperature as a remote sensing driver, or a combination of surface temperature and soil moisture level derived from microwave data. Flux data at an experimental plot in semi-arid Morocco is used to assess this potentiality and shows the increased robustness of both the total evapotranspiration and partitioning retrieval performances. This work is realized within the frame of the Phase A activities for the TRISHNA CNES/ISRO Thermal Infra-Red satellite mission.                     </p></article>", "keywords": ["Technology", "Environmental Engineering", "550", "Ecosystem Resilience", "Soil Moisture", "Evaporation", "Energy balance", "Biochemistry", "Environmental science", "Transpiration", "Meteorology", "Artificial Intelligence", "Soil water", "Thermal Infrared", "Applied optics. Photonics", "Machine Learning Methods for Solar Radiation Forecasting", "Photosynthesis", "TRISHNA", "Water balance", "Biology", "Soil science", "Global and Planetary Change", "Water content", "Evapotranspiration", "Geography", "Ecology", "Global Forest Drought Response and Climate Change", "T", "FOS: Environmental engineering", "Geology", "FOS: Earth and related environmental sciences", "Remote sensing", "15. Life on land", "Engineering (General). Civil engineering (General)", "Remote Sensing of Soil Moisture", "6. Clean water", "TA1501-1820", "[SDE.MCG] Environmental Sciences/Global Changes", "Chemistry", "Geotechnical engineering", "13. Climate action", "FOS: Biological sciences", "Environmental Science", "Physical Sciences", "Computer Science", "TA1-2040", "Water cycle"]}, "links": [{"href": "https://doi.org/2966009560"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/The%20International%20Archives%20of%20the%20Photogrammetry%2C%20Remote%20Sensing%20and%20Spatial%20Information%20Sciences", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "2966009560", "name": "item", "description": "2966009560", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/2966009560"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2019-07-26T00:00:00Z"}}], "links": [{"rel": "self", "type": "application/geo+json", "title": "This document as GeoJSON", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Applied+optics.+Photonics&f=json", "hreflang": "en-US"}, {"rel": "alternate", "type": "text/html", "title": "This document as HTML", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Applied+optics.+Photonics&f=html", "hreflang": "en-US"}, {"rel": "collection", "type": "application/json", "title": "Collection URL", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main", "hreflang": "en-US"}, {"type": "application/geo+json", "rel": "first", "title": "items (first)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Applied+optics.+Photonics&", "hreflang": "en-US"}, {"rel": "last", "type": "application/geo+json", "title": "items (last)", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items?keywords=Applied+optics.+Photonics&offset=10", "hreflang": "en-US"}], "numberMatched": 10, "numberReturned": 10, "distributedFeatures": [], "timeStamp": "2026-07-26T06:20:55.326018Z"}