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 …

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 …

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

Y Shen, X Zhang, Z Yang - ISPRS Journal of Photogrammetry and Remote …, 2022 - Elsevier
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 …

Exploring climate change effects on vegetation phenology by MOD13Q1 data: The piemonte region case study in the period 2001–2019

F Sarvia, S De Petris, E Borgogno-Mondino - Agronomy, 2021 - mdpi.com
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 …

[HTML][HTML] Real-time monitoring of crop phenology in the Midwestern United States using VIIRS observations

L Liu, X Zhang, Y Yu, F Gao, Z Yang - Remote Sensing, 2018 - mdpi.com
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 …

[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 …

Multi-Sensor Remote Sensing Data Integration for Agricultural Droughts: A PRISMA-Based Review in the Indian Context

P Kumar, A Tripathi, M Moniruzzaman… - Earth Systems and …, 2024 - Springer
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 …

Spatio-temporal trend in heat waves over India and its impact assessment on wheat crop

D Chakraborty, VK Sehgal, R Dhakar, M Ray… - Theoretical and Applied …, 2019 - Springer
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 …

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 …

Study on inter-seasonal and intra-seasonal relationships of meteorological and agricultural drought indices in the Rajasthan State of India

R Dhakar, VK Sehgal, S Pradhan - Journal of arid environments, 2013 - Elsevier
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 …