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Prediction of crop yield using phenological information extracted from remote sensing vegetation index
Z Ji, Y Pan, X Zhu, J Wang, Q Li - Sensors, 2021 - mdpi.com
Phenology is an indicator of crop growth conditions, and is correlated with crop yields. In this
study, a phenological approach based on a remote sensing vegetation index was explored …
study, a phenological approach based on a remote sensing vegetation index was explored …
Improved maize cultivated area estimation over a large scale combining MODIS–EVI time series data and crop phenological information
J Zhang, L Feng, F Yao - ISPRS Journal of Photogrammetry and Remote …, 2014 - Elsevier
The accurate and timely information of crop area is vital for crop production and food
security. In this study, the Enhanced Vegetation Index (EVI) data from MODerate resolution …
security. In this study, the Enhanced Vegetation Index (EVI) data from MODerate resolution …
Map** corn and soybean phenometrics at field scales over the United States Corn Belt by fusing time series of Landsat 8 and Sentinel-2 data with VIIRS data
Accurate and timely crop phenology is essential for efficient crop management and precise
modelling of crop yield and productivity. It has been commonly mapped from moderate or …
modelling of crop yield and productivity. It has been commonly mapped from moderate or …
Exploring climate change effects on vegetation phenology by MOD13Q1 data: The piemonte region case study in the period 2001–2019
Rising temperature, rainfall, and wind regime changes, increasing of frequency and intensity
of extreme events are only some of the effects of climate change affecting the agro-forestry …
of extreme events are only some of the effects of climate change affecting the agro-forestry …
[HTML][HTML] Real-time monitoring of crop phenology in the Midwestern United States using VIIRS observations
Real-time monitoring of crop phenology is critical for assisting farmers managing crop
growth and yield estimation. In this study, we presented an approach to monitor in real time …
growth and yield estimation. In this study, we presented an approach to monitor in real time …
[HTML][HTML] Integrating the Sentinel-1, Sentinel-2 and topographic data into soybean yield modelling using machine learning
K Amankulova, N Farmonov, K Omonov… - Advances in Space …, 2024 - Elsevier
It is crucial to accurately and timely estimate crop yield within field variability for sustainable
management and precision farming applications. Various Earth observation systems have …
management and precision farming applications. Various Earth observation systems have …
Multi-Sensor Remote Sensing Data Integration for Agricultural Droughts: A PRISMA-Based Review in the Indian Context
Ensuring a minimum crop yield becomes crucial with a major part of India's population still
employed in the agriculture sector. To ensure better crop yields and food security, especially …
employed in the agriculture sector. To ensure better crop yields and food security, especially …
Spatio-temporal trend in heat waves over India and its impact assessment on wheat crop
This study presents two aspects of heat waves over India. Firstly, we have analysed the
gridded daily temperature data (1°× 1°) for six decades (1951–2015) to understand the …
gridded daily temperature data (1°× 1°) for six decades (1951–2015) to understand the …
Optimising phenological metrics extraction for different crop types in Germany using the moderate resolution imaging spectrometer (MODIS)
X Xu, C Conrad, D Doktor - Remote Sensing, 2017 - mdpi.com
Phenological metrics extracted from satellite data (phenometrics) have been increasingly
used to access timely, spatially explicit information on crop phenology, but have rarely been …
used to access timely, spatially explicit information on crop phenology, but have rarely been …
Study on inter-seasonal and intra-seasonal relationships of meteorological and agricultural drought indices in the Rajasthan State of India
Use of rainfall anomaly based Standardized Precipitation Index (SPI) and satellite-derived
Vegetation Condition Index (VCI) are becoming common to assess the impacts of drought …
Vegetation Condition Index (VCI) are becoming common to assess the impacts of drought …