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 …

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 …

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 …

Surface albedo from the geostationary Communication, Ocean and Meteorological Satellite (COMS)/Meteorological Imager (MI) observation system

CS Lee, KS Han, JM Yeom, K Lee, M Seo… - GIScience & Remote …, 2018 - Taylor & Francis
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 …

ESTIMATION OF AREA SOWN AND SOWING DATES OF INSEASON RABI CROPS USING SENTINEL-2 TIME SERIES DATA

SV Gaikwad, AD Vibhute, KV Kale - The Journal of Research …, 2021 - epubs.icar.org.in
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 …

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 …

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 …

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 …

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 …