Remote sensing-based estimation of rice yields using various models: A critical review

DMG dela Torre, J Gao… - Geo-Spatial Information …, 2021 - Taylor & Francis
Reliable estimation of region-wide rice yield is vital for food security and agricultural
management. Field-scale models have increased our understanding of rice yield and its …

Mapping winter crops in China with multi-source satellite imagery and phenology-based algorithm

H Tian, N Huang, Z Niu, Y Qin, J Pei, J Wang - Remote sensing, 2019 - mdpi.com
Timely and accurate mapping of winter crop planting areas in China is important for food
security assessment at a national level. Time-series of vegetation indices, such as the …

The role of earth observation in achieving sustainable agricultural production in arid and semi-arid regions of the world

SH Qader, J Dash, VA Alegana, NR Khwarahm… - Remote Sensing, 2021 - mdpi.com
Crop production is a major source of food and livelihood for many people in arid and semi-
arid (ASA) regions across the world. However, due to irregular climatic events, ASA regions …

Rice-yield prediction with multi-temporal sentinel-2 data and 3D CNN: A case study in Nepal

R Fernandez-Beltran, T Baidar, J Kang, F Pla - Remote Sensing, 2021 - mdpi.com
Crop yield estimation is a major issue of crop monitoring which remains particularly
challenging in developing countries due to the problem of timely and adequate data …

A novel Greenness and Water Content Composite Index (GWCCI) for soybean mapping from single remotely sensed multispectral images

H Chen, H Li, Z Liu, C Zhang, S Zhang… - Remote Sensing of …, 2023 - Elsevier
As a critical source of food and one of the most economically significant crops in the world,
soybean plays an important role in achieving food security. Large area accurate mapping of …

Rice yield estimation using parcel-level relative spectral variables from UAV-based hyperspectral imagery

F Wang, F Wang, Y Zhang, J Hu, J Huang… - Frontiers in plant …, 2019 - frontiersin.org
Time-series Vegetation Indices (VIs) are usually used for estimating grain yield. However,
multi-temporal VIs may be affected by different background, illumination, and atmospheric …

Application of phenology-based algorithm and linear regression model for estimating rice cultivated areas and yield using remote sensing data in Bansloi River Basin …

GC Paul, S Saha, TK Hembram - Remote Sensing Applications: Society …, 2020 - Elsevier
Delineation of paddy (Oryza sativa L.) cultivating areas using modern technologies like
remote sensing and geographical information system is an important way for managing food …

Shoreline change assessment of Indus delta using GIS-DSAS and satellite data

AA Siyal, GS Solangi, P Siyal, MM Babar… - Regional Studies in …, 2022 - Elsevier
Abstract Indus River Delta, Pakistan, is under continual threat of coastal erosion due to
natural and anthropogenic activities. The variations in the shoreline position have …

Spatial rice yield estimation using multiple linear regression analysis, semi-physical approach and assimilating SAR satellite derived products with DSSAT crop …

S Pazhanivelan, V Geethalakshmi, R Tamilmounika… - Agronomy, 2022 - mdpi.com
Accurate and consistent information on the area and production of field crops is vital for
national and state planning and ensuring food security in India. Satellite-based remote …

In-season prediction of corn grain yield through PlanetScope and Sentinel-2 images

F Li, Y Miao, X Chen, Z Sun, K Stueve, F Yuan - Agronomy, 2022 - mdpi.com
Crop growth and yield monitoring are essential for food security and agricultural economic
return prediction. Remote sensing is an efficient technique for measuring growing season …