Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field data
Crop monitoring is essential for ensuring food security in a global context of population growth and climate change. Satellite images are commonly used to estimate crop parameters over large areas, and the freely available Synthetic Aperture Radar (SAR) Sentinel-1 (S-1) and optical Sentinel-2 (S-2)...
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| Format: | Article |
| Language: | English |
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Elsevier
2021-10-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921006909 |
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| author | Audrey Mercier Julie Betbeder Julien Denize Jean-Luc Roger Fabien Spicher Jérôme Lacoux David Roger Jacques Baudry Laurence Hubert-Moy |
| author_facet | Audrey Mercier Julie Betbeder Julien Denize Jean-Luc Roger Fabien Spicher Jérôme Lacoux David Roger Jacques Baudry Laurence Hubert-Moy |
| author_sort | Audrey Mercier |
| collection | DOAJ |
| description | Crop monitoring is essential for ensuring food security in a global context of population growth and climate change. Satellite images are commonly used to estimate crop parameters over large areas, and the freely available Synthetic Aperture Radar (SAR) Sentinel-1 (S-1) and optical Sentinel-2 (S-2) images are relevant for that purpose combining high temporal resolution and high spatial resolution. For this data article, field surveys were conducted from January to July 2017 in France to sample wheat and rapeseed crop parameters during the entire crops cycle. Phenological stages were identified in 83 wheat fields and 32 rapeseed fields in Brittany and Picardy regions. Moreover, Leaf Area Index (LAI), wet biomass, dry biomass and water content were sampled in three wheat fields and three rapeseed fields in Brittany. We assigned to each field sample 10 spectral bands and 12 vegetation indices from S-2 images and two backscattering coefficients, one backscattering ratio and four polarimetric indicators from S-1 images. This dataset can be used for crop monitoring in other regions, as well as for modelling development. |
| first_indexed | 2024-12-17T22:31:27Z |
| format | Article |
| id | doaj.art-527c545c8b2e4706833dec620005d110 |
| institution | Directory Open Access Journal |
| issn | 2352-3409 |
| language | English |
| last_indexed | 2024-12-17T22:31:27Z |
| publishDate | 2021-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj.art-527c545c8b2e4706833dec620005d1102022-12-21T21:30:11ZengElsevierData in Brief2352-34092021-10-0138107408Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field dataAudrey Mercier0Julie Betbeder1Julien Denize2Jean-Luc Roger3Fabien Spicher4Jérôme Lacoux5David Roger6Jacques Baudry7Laurence Hubert-Moy8LETG Rennes UMR 6554, Université Rennes 2, Place du recteur Henri Le Moal, Rennes Cedex 35043, France; Corresponding author.CIRAD, Forêts et Sociétés, Montpellier 34398, France; Ecosystems Modelling Unity, Forests, Biodiversity and Climate Change Program, Tropical Agricultural Research and Higher Education Center (CATIE), Turrialba, Cartago, Costa RicaLETG Rennes UMR 6554, Université Rennes 2, Place du recteur Henri Le Moal, Rennes Cedex 35043, France; Institute of Electronics and Telecommunications of Rennes IETR, UMR CNRS 6164, University of Rennes, Rennes 35000, FranceInstitut Agro, UMR 0980 BAGAP, ESA, Rennes 35042, FranceUnité Ecologie et Dynamiques des Systèmes Anthropisés, UMR 7058 CNRS, Université de Picardie Jules Verne, 33 rue St-Leu, Amiens 80039, FranceUnité Ecologie et Dynamiques des Systèmes Anthropisés, UMR 7058 CNRS, Université de Picardie Jules Verne, 33 rue St-Leu, Amiens 80039, FranceUnité Ecologie et Dynamiques des Systèmes Anthropisés, UMR 7058 CNRS, Université de Picardie Jules Verne, 33 rue St-Leu, Amiens 80039, FranceInstitut Agro, UMR 0980 BAGAP, ESA, Rennes 35042, FranceLETG Rennes UMR 6554, Université Rennes 2, Place du recteur Henri Le Moal, Rennes Cedex 35043, FranceCrop monitoring is essential for ensuring food security in a global context of population growth and climate change. Satellite images are commonly used to estimate crop parameters over large areas, and the freely available Synthetic Aperture Radar (SAR) Sentinel-1 (S-1) and optical Sentinel-2 (S-2) images are relevant for that purpose combining high temporal resolution and high spatial resolution. For this data article, field surveys were conducted from January to July 2017 in France to sample wheat and rapeseed crop parameters during the entire crops cycle. Phenological stages were identified in 83 wheat fields and 32 rapeseed fields in Brittany and Picardy regions. Moreover, Leaf Area Index (LAI), wet biomass, dry biomass and water content were sampled in three wheat fields and three rapeseed fields in Brittany. We assigned to each field sample 10 spectral bands and 12 vegetation indices from S-2 images and two backscattering coefficients, one backscattering ratio and four polarimetric indicators from S-1 images. This dataset can be used for crop monitoring in other regions, as well as for modelling development.http://www.sciencedirect.com/science/article/pii/S2352340921006909LAIBiomassPhenological stagesWater contentRemote sensingOptical and SAR satellite images |
| spellingShingle | Audrey Mercier Julie Betbeder Julien Denize Jean-Luc Roger Fabien Spicher Jérôme Lacoux David Roger Jacques Baudry Laurence Hubert-Moy Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field data Data in Brief LAI Biomass Phenological stages Water content Remote sensing Optical and SAR satellite images |
| title | Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field data |
| title_full | Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field data |
| title_fullStr | Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field data |
| title_full_unstemmed | Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field data |
| title_short | Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field data |
| title_sort | estimating crop parameters using sentinel 1 and 2 datasets and geospatial field data |
| topic | LAI Biomass Phenological stages Water content Remote sensing Optical and SAR satellite images |
| url | http://www.sciencedirect.com/science/article/pii/S2352340921006909 |
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