0000000000793583

AUTHOR

T. Le Toan

showing 2 related works from this author

Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data

2008

Abstract The derivation of leaf area index (LAI) from satellite optical data has been the subject of a large amount of work. In contrast, few papers have addressed the effective model inversion of high resolution satellite images for a complete series of data for the various crop species in a given region. The present study is focused on the assessment of a LAI model inversion approach applied to multitemporal optical data, over an agricultural region having various crop types with different crop calendars. Both the inversion approach and data sources are chosen because of their wide use. Crops in the study region (Barrax, Castilla–La Mancha, Spain) include: cereal, corn, alfalfa, sugar bee…

2. Zero hunger010504 meteorology & atmospheric sciencesPhenology0211 other engineering and technologiesSoil ScienceInverse transform samplingGeologyInversion (meteorology)02 engineering and technology15. Life on land01 natural sciencesNormalized Difference Vegetation IndexCropEnvironmental sciencePlant coverComputers in Earth SciencesLeaf area indexEmpirical relationship021101 geological & geomatics engineering0105 earth and related environmental sciencesRemote sensingRemote Sensing of Environment
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Sentinel-1 & Sentinel-2 Data for Soil Tillage Change Detection

2018

In this paper, an algorithm using Sentinel-1 (S-1) and Sentinel-2 (S-2) data to identify changes of tillage over agricultural fields at approximately similar to 100m resolution is presented. The methodology implements a multiscale temporal change detection on S-1 VH backscatter in order to single out VH changes due to agricultural practices only. The algorithm can be applied over bare or scarcely vegetated agricultural fields, which are identified from S-2 NDVI measurements. An initial assessment at farm scale using in situ and S-1 and SPOT5-Take5 data, acquired over the Apulian Tavoliere in southern Italy in 2015, is illustrated. A full validation of the approach is in progress over three …

2. Zero hunger010504 meteorology & atmospheric sciencessoil tillage change identificationbusiness.industry04 agricultural and veterinary sciencesSoil tillage01 natural sciencesNormalized Difference Vegetation IndexTillageAgriculture040103 agronomy & agriculture0401 agriculture forestry and fisheriesEnvironmental scienceSentinel-1Temporal changePhysical geographyTime seriesSentinel-2Scale (map)businessChange detection0105 earth and related environmental sciencesIGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
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