Assessing the suitability of data from Sentinel-1A and 2A for crop classification
R Sonobe, Y Yamaya, H Tani, X Wang… - GIScience & Remote …, 2017 - Taylor & Francis
Sentinel-1A C-SAR and Sentinel-2A MultiSpectral Instrument (MSI) provide data applicable
to the remote identification of crop type. In this study, six crop types (beans, beetroot, grass …
to the remote identification of crop type. In this study, six crop types (beans, beetroot, grass …
Temperature dependence of variations in the end of the growing season from 1982 to 2012 on the Qinghai–Tibetan Plateau
M Ding, Q Chen, L Li, Y Zhang, Z Wang… - GIScience & Remote …, 2016 - Taylor & Francis
A growing number of studies have focused on variations in vegetation phenology and their
correlations with climatic factors. However, there has been little research on changes in …
correlations with climatic factors. However, there has been little research on changes in …
Yield Estimation of Wheat Using Cropland Masks from European Common Agrarian Policy: Comparing the Performance of EVI2, NDVI, and MTCI in Spanish NUTS-2 …
MA Garcia-Perez, V Rodriguez-Galiano… - Remote Sensing, 2023 - mdpi.com
Monitoring wheat yield and production is essential for ensuring global food security. Remote
sensing can be used to achieve it due to its ability to provide global, comprehensive …
sensing can be used to achieve it due to its ability to provide global, comprehensive …
Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system
The surface albedo is an essential climate variable that is considered in many applications
used for predicting climate and understanding the mechanisms of climate change. In this …
used for predicting climate and understanding the mechanisms of climate change. In this …
ESTIMATION OF AREA SOWN AND SOWING DATES OF INSEASON RABI CROPS USING SENTINEL-2 TIME SERIES DATA
An estimation of the area sown and sowing dates with their frequent updates in crop
growingseason are crucial for devising the Nation's food secuirty policies. These areas and …
growingseason are crucial for devising the Nation's food secuirty policies. These areas and …
Retrieval of regional LAI over agricultural land from an Indian geostationary satellite and its application for crop yield estimation
R Nigam, SS Vyas, BK Bhattacharya… - Journal of Spatial …, 2017 - Taylor & Francis
Agriculture productivity at spatio-temporal scales can be modelled through quantification of
biophysical parameters like LAI (leaf area index) and radiation parameters from satellites …
biophysical parameters like LAI (leaf area index) and radiation parameters from satellites …
Geostationary meteorological satellite for agro-meteorological applications
R Nigam, BK Bhattacharya - Re-envisioning Remote Sensing …, 2021 - taylorfrancis.com
Regular and continuous monitoring of agriculture at a regional scale is required to optimize
agricultural resource efficiency and to guide planners with regard to export and import …
agricultural resource efficiency and to guide planners with regard to export and import …
Machine learning and high spatial resolution multi-temporal Sentinel-2 imagery for crop type classification
MG Maponya - 2019 - scholar.sun.ac.za
Abstract ENGLISH SUMMARY: Spatially-explicit crop type information is useful for
estimating agricultural production areas. Such information is used for various monitoring and …
estimating agricultural production areas. Such information is used for various monitoring and …
作物分類のためのSentinel-1 C-SAR による推定NDVI データの利用可能性の評価
薗部礼, 関晴之, 島村秀樹, 望月貫一郎… - 写真測量とリモート …, 2022 - jstage.jst.go.jp
抄録 The Normalized Difference Vegetation Index (NDVI) has been used for evaluating
various vegetation properties and then it is also effective for improving classification …
various vegetation properties and then it is also effective for improving classification …