{"type": "FeatureCollection", "features": [{"id": "10.1007/s10457-011-9442-z", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:14:50Z", "type": "Journal Article", "created": "2011-11-02", "title": "Modeling The Impacts Of Agroforestry Systems On The Spatial Patterns Of Soil Erosion Risk In Three Catchments Of Claveria, The Philippines", "description": "Agroforestry is one of the preferred land-use options for smallholder farms in tropical landscapes due to its ability to increase land productivity and protect soil from erosion. We investigated the impacts of agroforestry and traditional monocropping systems on the spatial patterns of soil erosion risk in three catchment areas of Claveria, the Philippines, using WaTEM/SEDEM, a spatially distributed soil erosion model. The model predicts soil loss in catchments based on the Revised Universal Soil Loss Equation (RUSLE) by taking into account the influences of rainfall, soil erodibility, vegetation cover and 2-dimensional variations in landscape structure. The predicted soil erosion rates were transformed into risk values in order to identify areas with higher risk for erosion. Model results indicate a large spatial variability in soil erosion risk patterns, with higher risks occurring on slopes greater than 8% on land under non-agroforestry use. The soil erosion risk maps were used to formulate site-specific agroforestry recommendations for future landscape amelioration plans.", "keywords": ["2. Zero hunger", "soil erosion", "13. Climate action", "upland areas", "RUSLE", "WaTEM/SEDEM", "the Philippines", "15. Life on land", "01 natural sciences", "land-use planning", "tropical region", "agroforestry", "0105 earth and related environmental sciences"], "contacts": [{"organization": "Delgado, Marc, Canters, Frank,", "roles": ["creator"]}]}, "links": [{"href": "https://doi.org/10.1007/s10457-011-9442-z"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Agroforestry%20Systems", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10457-011-9442-z", "name": "item", "description": "10.1007/s10457-011-9442-z", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10457-011-9442-z"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2011-11-02T00:00:00Z"}}, {"id": "10.1007/s10750-013-1617-3", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:15:01Z", "type": "Journal Article", "created": "2013-08-06", "title": "Vegetation And Soil Characteristics As Indicators Of Restoration Trajectories In Restored Mangroves", "description": "We investigated the restoration trajectories in vegetation and soil parameters of monospecific Rhizophora mucronata stands planted 6, 8, 10, 11, 12, 17, 18, and 50 years ago (restored system). We tested the hypothesis that the changes in vegetation characteristics, with progressing mangrove age, are related to the changes in soil characteristics. The vegetation and soil parameters were compared across this restoration sequence using a reference system comprising mature, natural mangrove stands of unknown age. Rapid increases in leaf area index and aboveground biomass, and declines in tree density and size (in terms of tree diameter and height) occurred with increasing stand age. Soil organic matter, total nitrogen, and soil redox potential increased, and soil temperature decreased as stands aged. These patterns tended to stabilize at approximately the 11th year, indicating the probable age that restoration plots tend toward forest maturity. The time for the restored systems to reach forest maturity, attaining characteristics similar to the reference system, is estimated at 25 years, which is relatively slow compared to forest regeneration trajectories estimated for natural mangroves. Our study describes the trajectory patterns for planted mangroves, which are important for the assessment of both the progress and success of mangrove rehabilitation programs.", "keywords": ["Rhizophora", "0106 biological sciences", "550", "Philippines", "Restoration", "Mangroves", "1104 Complementary and Alternative Medicine", "910", "15. Life on land", "Soil carbon", "01 natural sciences"]}, "links": [{"href": "https://doi.org/10.1007/s10750-013-1617-3"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Hydrobiologia", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1007/s10750-013-1617-3", "name": "item", "description": "10.1007/s10750-013-1617-3", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1007/s10750-013-1617-3"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2013-08-07T00:00:00Z"}}, {"id": "10.1016/j.marpolbul.2016.05.049", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:57Z", "type": "Journal Article", "created": "2016-06-11", "title": "Rehabilitating Mangrove Ecosystem Services: A Case Study On The Relative Benefits Of Abandoned Pond Reversion From Panay Island, Philippines", "description": "Mangroves provide vital climate change mitigation and adaptation (CCMA) ecosystem services (ES), yet have suffered extensive tropics-wide declines. To mitigate losses, rehabilitation is high on the conservation agenda. However, the relative functionality and ES delivery of rehabilitated mangroves in different intertidal locations is rarely assessed. In a case study from Panay Island, Philippines, using field- and satellite-derived methods, we assess carbon stocks and coastal protection potential of rehabilitated low-intertidal seafront and mid- to upper-intertidal abandoned (leased) fishpond areas, against reference natural mangroves. Due to large sizes and appropriate site conditions, targeted abandoned fishpond reversion to former mangrove was found to be favourable for enhancing CCMA in the coastal zone. In a municipality-specific case study, 96.7% of abandoned fishponds with high potential for effective greenbelt rehabilitation had favourable tenure status for reversion. These findings have implications for coastal zone management in Asia in the face of climate change.", "keywords": ["0106 biological sciences", "Carbon Sequestration", "Conservation of Natural Resources", "coastal protection", "mangroves", "Philippines", "Aquatic Science", "15. Life on land", "Oceanography", "Pollution", "01 natural sciences", "Carbon", "rehabilitation", "carbon stocks", "13. Climate action", "Wetlands", "11. Sustainability", "14. Life underwater", "ecosystem services", "Ponds", "abandoned aquaculture ponds", "Ecosystem", "Environmental Restoration and Remediation", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.marpolbul.2016.05.049"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Marine%20Pollution%20Bulletin", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.marpolbul.2016.05.049", "name": "item", "description": "10.1016/j.marpolbul.2016.05.049", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.marpolbul.2016.05.049"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2016-08-01T00:00:00Z"}}, {"id": "10.1016/j.catena.2017.08.005", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:03Z", "type": "Journal Article", "created": "2017-08-11", "title": "Soil Greenhouse Gas Fluxes In Tropical Mangrove Forests And In Land Uses On Deforested Mangrove Lands", "description": "Mangrove forests are important carbon sinks in the tropics, yet tropical mangrove deforestation and land use conversion still persists. Reporting of greenhouse gas (GHG) emissions from natural and anthropogenic sources in wetlands are important in regional and national emissions inventories. However, very few studies have been conducted to measure on the GHG fluxes in coastal wetlands, particularly in mangrove forest and non-forest land uses in deforested mangroves. We investigated the soil fluxes of CO2, CH4 and N2O in mangrove forest and non-forest land uses on deforested mangrove areas (i.e. abandoned aquaculture ponds, coconut plantations, abandoned salt ponds, and cleared mangroves) in the coasts of Honda Bay, Philippines. Results showed that the emissions of CO2 and CH4 were higher by 2.6 and 6.6 times in mangrove forests (110 and 0.6 kg CO2e ha \u2212 1 day \u2212 1, respectively) while N2O emissions were lower by 34 times compared to the average of non-forest land uses (1.3 kg CO2e ha \u2212 1 day \u2212 1). CH4 and N2O emissions accounted for 0.59% and 0.04% of the total emissions in mangrove forest as compared to 0.23% and 3.07% for non-forest land uses, respectively. Site-scale soil GHG flux distribution could be mapped with 75% to 83% accuracy using Ordinary Kriging. Unlike mangroves that can offset all GHG emissions through CO2 uptake from photosynthesis, the non-forest land uses cannot offset their emissions on-site as they are usually devoid of vegetation. Our results could be utilised in higher tier national GHG inventories, to refine regional and global estimates of GHG emissions in mangrove wetlands, and improve policy on coastal wetlands conservation.", "keywords": ["coastal wetlands", "580", "soil greenhouse gas fluxes", "570", "Philippines", "15. Life on land", "01 natural sciences", "6. Clean water", "12. Responsible consumption", "13. Climate action", "non-forest land uses in deforested mangrove lands", "11. Sustainability", "geostatistics", "14. Life underwater", "mangrove forest", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.catena.2017.08.005"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/CATENA", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.catena.2017.08.005", "name": "item", "description": "10.1016/j.catena.2017.08.005", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.catena.2017.08.005"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "10.1016/j.geoderma.2017.01.025", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:42Z", "type": "Journal Article", "created": "2017-02-09", "title": "Soil C Quantities Of Mangrove Forests, Their Competing Land Uses, And Their Spatial Distribution In The Coast Of Honda Bay, Philippines", "description": "Mangrove forests provide many ecosystem goods and services and they contain large amount of carbon (C) especially in their soil. Yet, their global area is still declining owing to conversion to non-forest land uses. While studies have been conducted on mangrove soil C stocks, our knowledge on how C stocks of mangrove forests compare with those of non-forest land uses that replaced them is still limited. This knowledge is crucial in land use planning and decision-making in the coastal zone. Site-scale mapping and assessments of mangrove soil C stocks and the land uses that replaced them are also limited. The aim of this study was to quantify and compare the soil C stocks in mangrove forests and their competing non-forest land uses (represented by aquaculture pond, coconut plantation, salt pond and cleared mangrove), estimate soil C loss arising from conversion, and model the soil C stock distribution in the entire study site. On the average, the soil C stock of mangrove forests was 851.9 \u00b1 87 MgC ha\u2212 1 while that of their non-forest competing land uses was less than half at 365.1 \u00b1 31 MgC ha\u2212 1. Closed canopy mangrove was highest at 1040 \u00b1 104 MgC ha\u2212 1, followed by open canopy mangrove (640 \u00b1 131 MgC ha\u2212 1) while aquaculture, salt pond and cleared mangrove had comparable C stocks (454 \u00b1 32, 401 \u00b1 9, 413 \u00b1 25 MgC ha\u2212 1, respectively) and coconut plantation had the least (42 \u00b1 0.7 MgC ha\u2212 1). Overall, the reduction in soil C stock (soil C loss) due to land use conversion in mangrove ranged from 398 to 809 MgC ha\u2212 1 (mean: 486.8 MgC ha\u2212 1) or a decline of 57% in soil C stock, on the average. It was possible to model the site-scale spatial distribution of soil C stocks and predict their values with 85% overall certainty using the Ordinary Kriging approach. Results from this study could help inform current discussions on Blue Carbon and REDD + as well as policy and program development that advance research on soil C conservation and ecosystem services in coastal forested wetlands.", "keywords": ["580", "c stock", "mangrove", "spatial modelling", "570", "aquaculture", "blue carbon", "Philippines", "14. Life underwater", "15. Life on land", "01 natural sciences", "0105 earth and related environmental sciences"]}, "links": [{"href": "https://doi.org/10.1016/j.geoderma.2017.01.025"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/Geoderma", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.geoderma.2017.01.025", "name": "item", "description": "10.1016/j.geoderma.2017.01.025", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.geoderma.2017.01.025"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-05-01T00:00:00Z"}}, {"id": "10.1016/j.isprsjprs.2017.10.016", "type": "Feature", "geometry": null, "properties": {"updated": "2026-04-13T16:16:46Z", "type": "Journal Article", "created": "2017-11-06", "title": "Estimation And Mapping Of Above-Ground Biomass Of Mangrove Forests And Their Replacement Land Uses In The Philippines Using Sentinel Imagery", "description": "Abstract   The recent launch of the Sentinel-1 (SAR) and Sentinel-2 (multispectral) missions offers a new opportunity for land-based biomass mapping and monitoring especially in the tropics where deforestation is highest. Yet, unlike in agriculture and inland land uses, the use of Sentinel imagery has not been evaluated for biomass retrieval in mangrove forest and the non-forest land uses that replaced mangroves. In this study, we evaluated the ability of Sentinel imagery for the retrieval and predictive mapping of above-ground biomass of mangroves and their replacement land uses. We used Sentinel SAR and multispectral imagery to develop biomass prediction models through the conventional linear regression and novel Machine Learning algorithms. We developed models each from SAR raw polarisation backscatter data, multispectral bands, vegetation indices, and canopy biophysical variables. The results show that the model based on biophysical variable Leaf Area Index (LAI) derived from Sentinel-2 was more accurate in predicting the overall above-ground biomass. In contrast, the model which utilised optical bands had the lowest accuracy. However, the SAR-based model was more accurate in predicting the biomass in the usually deficient to low vegetation cover non-forest replacement land uses such as abandoned aquaculture pond, cleared mangrove and abandoned salt pond. These models had 0.82\u20130.83 correlation/agreement of observed and predicted value, and root mean square error of 27.8\u201328.5\u202fMg\u202fha \u22121 . Among the Sentinel-2 multispectral bands, the red and red edge bands (bands 4, 5 and 7), combined with elevation data, were the best variable set combination for biomass prediction. The red edge-based Inverted Red-Edge Chlorophyll Index had the highest prediction accuracy among the vegetation indices. Overall, Sentinel-1 SAR and Sentinel-2 multispectral imagery can provide satisfactory results in the retrieval and predictive mapping of the above-ground biomass of mangroves and the replacement non-forest land uses, especially with the inclusion of elevation data. The study demonstrates encouraging results in biomass mapping of mangroves and other coastal land uses in the tropics using the freely accessible and relatively high-resolution Sentinel imagery.", "keywords": ["land use change", "580", "sentinel imagery", "mangrove", "biomass", "550", "Philippines", "0211 other engineering and technologies", "04 agricultural and veterinary sciences", "02 engineering and technology", "15. Life on land", "biomass mapping", "13. Climate action", "0401 agriculture", " forestry", " and fisheries"]}, "links": [{"href": "https://doi.org/10.1016/j.isprsjprs.2017.10.016"}, {"rel": "related", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/ISPRS%20Journal%20of%20Photogrammetry%20and%20Remote%20Sensing", "name": "related record", "description": "related record", "type": "application/json"}, {"rel": "self", "type": "application/geo+json", "title": "10.1016/j.isprsjprs.2017.10.016", "name": "item", "description": "10.1016/j.isprsjprs.2017.10.016", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/10.1016/j.isprsjprs.2017.10.016"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"date": "2017-12-01T00:00:00Z"}}, {"id": "31769934-038c-4873-ab14-4b6b66531103", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[-157.9, -38.8], [-157.9, 29.1], [175.9, 29.1], [175.9, -38.8], [-157.9, -38.8]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Stratum"}, {"concepts": [{"id": "Australia"}, {"id": "Bangladesh"}, {"id": "Belize"}, {"id": "Benin"}, {"id": "Brazil"}, {"id": "Cameroon"}, {"id": "China"}, {"id": "Colombia"}, {"id": "Costa Rica"}, {"id": "Dominican Republic"}, {"id": "Ecuador"}, {"id": "Egypt"}, {"id": "El Salvador"}, {"id": "French Guiana"}, {"id": "Guadeloupe"}, {"id": "Honduras"}, {"id": "Hong Kong"}, {"id": "India"}, {"id": "Indonesia"}, {"id": "Madagascar"}, {"id": "Malaysia"}, {"id": "Mexico"}, {"id": "Micronesia"}, {"id": "Mozambique"}, {"id": "New Zealand"}, {"id": "Nigeria"}, {"id": "Palau"}, {"id": "Panama"}, {"id": "Philippines"}, {"id": "Saudi Arabia"}, {"id": "Singapore"}, {"id": "South Africa"}, {"id": "Sri Lanka"}, {"id": "Taiwan"}, {"id": "Thailand"}, {"id": "United States"}, {"id": "Vietnam"}], "scheme": "Region"}], "updated": "2024-11-27T10:08:58", "type": "Dataset", "language": "eng", "title": "Global mangrove soil carbon: dataset and spatial maps", "description": "Model outputs were updated on Dec 20, 2017. This project used a machine learning data-driven model to predict the distribution of soil carbon under mangrove forests globally. Specifically this dataset contains: 1) a compilation of georeferenced and harmonized soil profile data under mangroves compiled from literature, reports and unpublished contributions 2) global mosaics of soil carbon stocks to 1m and 2m depths produced at 100 m resolution 3) tiled predictions of soil carbon stocks produced at 30 m resolution 4) shape file containing the tiling system 5) shape file containing country boundaries used for calculating national level statistics.\nFor detailed methodologies, please see the scientific paper (https://doi.org/10.1088/1748-9326/aabe1c).", "formats": [{"name": "zip"}, {"name": "WWW:LINK-1.0-http--related"}], "keywords": ["carbon", "soil profiles", "Soil science", "Australia", "Bangladesh", "Belize", "Benin", "Brazil", "Cameroon", "China", "Colombia", "Costa Rica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "French Guiana", "Guadeloupe", "Honduras", "Hong Kong", "India", "Indonesia", "Madagascar", "Malaysia", "Mexico", "Micronesia", "Mozambique", "New Zealand", "Nigeria", "Palau", "Panama", "Philippines", "Saudi Arabia", "Singapore", "South Africa", "Sri Lanka", "Taiwan", "Thailand", "United States", "Vietnam"], "contacts": [{"name": "Jonathan Sanderman", "organization": "Woods Hole Research Centre", "position": "Associate scientist", "roles": ["pointOfContact"], "phones": [{"value": null}], "emails": [{"value": "jsanderman@whrc.org"}], "addresses": [{"deliveryPoint": [null], "city": "Falmouth, Massachusetts", "administrativeArea": null, "postalCode": "MA 02540", "country": "United States of America"}], "links": [{"href": null}]}, {"name": "Tom Hengl", "organization": "ISRIC - World Soil Information", "position": "Former staff", "roles": ["Author"], "phones": [{"value": null}], "emails": [{"value": "None"}], "addresses": [{"deliveryPoint": ["PO Box 353"], "city": "Wageningen", "administrativeArea": null, "postalCode": "6700AJ", "country": "Netherlands"}], "links": [{"href": null}]}], "distancevalue": "30", "distanceuom": "m"}, "links": [{"href": "https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/OCYUIT", "name": "Project webpage", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://doi.org/10.1088/1748-9326/aabe1c", "name": "Scientific paper", "protocol": "WWW:LINK-1.0-http--related", "rel": "information"}, {"href": "https://files.isric.org/public/thumbnails/other/WD-Mangroves.jpg", "name": "preview", "description": "Web image thumbnail (URL)", "protocol": "WWW:LINK-1.0-http--image-thumbnail", "rel": "preview"}, {"rel": "self", "type": "application/geo+json", "title": "31769934-038c-4873-ab14-4b6b66531103", "name": "item", "description": "31769934-038c-4873-ab14-4b6b66531103", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main/items/31769934-038c-4873-ab14-4b6b66531103"}, {"rel": "collection", "type": "application/json", "title": "Collection", "name": "collection", "description": "Collection", "href": "https://repository.soilwise-he.eu/cat/collections/metadata:main"}], "time": {"interval": ["1969-01-01T00:00:00Z", "2015-09-01T00:00:00Z"]}}, {"id": "32afbca5-ebeb-11ef-bc12-6b4a6fcd8b5e", "type": "Feature", "geometry": {"type": "Polygon", "coordinates": [[[116.5, 4.6], [116.5, 21.1], [126.6, 21.1], [126.6, 4.6], [116.5, 4.6]]]}, "properties": {"themes": [{"concepts": [{"id": "geoscientificInformation"}], "scheme": "https://standards.iso.org/iso/19139/resources/gmxCodelists.xml#MD_TopicCategoryCode"}, {"concepts": [{"id": "Soil science"}], "scheme": "Discipline"}, {"concepts": [{"id": "Philippines"}], "scheme": "Region"}], "updated": "2025-03-26T08:54:09", "type": "Dataset", "created": "2020-08-01", "language": "eng", "title": "Soil Electrical Conductivity (Philippines - 1 km)", "description": "Soil electrical conductivity derived from soil samples collected from 0-30 and 30-100 cm depth\n\nWMTS: https://data.apps.fao.org/map/wmts/wmts?layer=fao-gismgr/GLOSIS/mapsets/PH-GSAS-ECX-2020&tilematrixset=EPSG:4326&Service=WMTS&request=GetTile&Version=1.0.0&Format=image/png&TileMatrix={z}&TileCol={y}&TileRow={x}&layertype=Image", "formats": [{"name": "GeoTIFF"}, {"name": "WWW:LINK-1.0-http--link"}], "keywords": ["soil", "digital soil mapping", "electrical conductivity", "Soil science", "Philippines"], "contacts": [{"name": "Andrew B. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. 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Reports, articles, papers, scientific and non - scientific works of any form, including tables, maps, or any other kind of output, in printed or electronic form, based in whole or in part on the data supplied, must contain an acknowledgement of the form: \"Data reused from the BonaRes Data Centre www.bonares.de. This data were created as part of the ZALF Datenerfassung's research activities.\" Although every care has been taken in preparing and testing the data, the ZALF Datenerfassung and the BonaRes Data Centre cannot guarantee that the data are correct; neither does the ZALF Datenerfassung and the BonaRes Data Centre accept any liability whatsoever for any error, missing data or omission in the data, or for any loss or damage arising from its use. The ZALF Datenerfassung and BonaRes Data Centre will not be responsible for any direct or indirect use which might be made of the data.", "updated": "2024-03-01", "type": "Dataset", "created": "2024-02-15", "language": "eng", "title": "Low-cost ground-based NDVI sensor device for manual and automated crop monitoring", "description": "Ground-based NDVI sensors are vital for an accurate, localized crop condition and growth assessment, but their high cost and labor-intensive nature limit accessibility. Here, we present a low-cost NDVI sensor device, priced under 250 Euros, which can be utilized both manually as a handheld tool and automatically as a standalone device to address this issue. We calibrated and field validated the low-cost NDVI sensor against a commercial sensor for ground-based NDVI measurements. Our calibration revealed a slight underestimation at higher NDVI values measured from the low-cost sensor, which we adjusted using a correction function. Field validation proved the accuracy of low-cost sensor device, with a high correlation (r\u00b2 = 0.99; y = 1.04x + 0.003) and good agreement with the reference device, after applying then derived correction function. Further field trial application of the low-cost sensor as a handheld device (manual mode) in Benin and the Philippines for rice and pineapple cultivation, respectively, demonstrated the reliability of the device to monitor crop development and biomass accumulation. An additional field testing in an oat field site in Germany showed that the developed low-cost NDVI sensor, functioning as a standalone automatic device, is robust, reliable and capable to monitor crop development during senescence, through higher temporal resolution NDVI measurements. This study proved the accuracy and reliability of our low-cost NDVI sensor, increasing accessibility to cost-effective, ground-based NDVI crop monitoring solutions.Contains the index of all datasets.\n\nRelated datasets are listed in the metadata element 'Related Identifier'.\nDataset version 1.0", "formats": [{"name": "CSV"}], "keywords": ["vegetation index", "crop monitoring", "spectral analysis", "appropriate technology", "opendata", "low cost", "spectral sensor", "open source device", "net ecosystem carbon balance", "water use efficiency", "Bodennutzung", "Germany", "Brandenburg", "M\u00e4rkisch Oderland", "Philippines", "Benin"], "contacts": [{"name": "Leibniz Centre for Agricultural Landscape Research", "organization": "ZALF", "position": "Research Platform 'Data Analysis & Simulation' - Workgroup Research Data Management", "roles": ["publisher"], "phones": [{"value": "+49 33432 82 300"}], "emails": [{"value": "dataservice@zalf.de"}], "addresses": [{"deliveryPoint": ["Eberswalder 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