A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses

L Karthikeyan, I Chawla, AK Mishra - Journal of Hydrology, 2020 - Elsevier
The global population is expected to reach 9.8 billion by 2050. There is an exponential
growth of food production to meet the needs of the growing population. However, the limited …

Remote sensing and cropping practices: A review

A Bégué, D Arvor, B Bellon, J Betbeder… - Remote Sensing, 2018 - mdpi.com
For agronomic, environmental, and economic reasons, the need for spatialized information
about agricultural practices is expected to rapidly increase. In this context, we reviewed the …

A comparison of land surface water mapping using the normalized difference water index from TM, ETM+ and ALI

W Li, Z Du, F Ling, D Zhou, H Wang, Y Gui, B Sun… - Remote Sensing, 2013 - mdpi.com
Remote sensing has more advantages than the traditional methods of land surface water
(LSW) mapping because it is a low-cost, reliable information source that is capable of …

[PDF][PDF] Application of remote sensing methods in agriculture

M Wójtowicz, A Wójtowicz… - … in biometry and crop …, 2016 - researchgate.net
With advances in satellite, airborne and ground based remote sensing, reflectance data are
increasingly being used in agriculture. This paper reviews various remote sensing methods …

Remote sensing of irrigated agriculture: Opportunities and challenges

M Ozdogan, Y Yang, G Allez, C Cervantes - Remote sensing, 2010 - mdpi.com
Over the last several decades, remote sensing has emerged as an effective tool to monitor
irrigated lands over a variety of climatic conditions and locations. The objective of this …

A generalized approach based on convolutional neural networks for large area cropland mapping at very high resolution

D Zhang, Y Pan, J Zhang, T Hu, J Zhao, N Li… - Remote Sensing of …, 2020 - Elsevier
Timely and accurate delineation of the cropland extent over large area is crucial for
operational agriculture monitoring and is also beneficial to address food security issues …

Automated annual cropland mapping using knowledge-based temporal features

F Waldner, GS Canto, P Defourny - ISPRS Journal of Photogrammetry and …, 2015 - Elsevier
Global, timely, accurate and cost-effective cropland mapping is a prerequisite for reliable
crop condition monitoring. This article presented a simple and comprehensive methodology …

Early season detection of rice plants using RGB, NIR-GB and multispectral images from unmanned aerial vehicle (UAV)

H Zheng, X Zhou, J He, X Yao, T Cheng, Y Zhu… - … and electronics in …, 2020 - Elsevier
Crop plant detection is vital for mapping crop planting area and extracting pure crop canopy
information. In this study, three cameras (RGB, color infrared (NIR-GB) and multispectral …

Corn and soybean mapping in the United States using MODIS time‐series data sets

J Chang, MC Hansen, K Pittman, M Carroll… - Agronomy …, 2007 - Wiley Online Library
Monitoring and mapping of US croplands has long been a primary goal of many users of
earth observation satellite data. The advantages of using low spatial and high temporal …

Object-oriented crop classification using multitemporal ETM+ SLC-off imagery and random forest

JA Long, RL Lawrence, MC Greenwood… - GIScience & Remote …, 2013 - Taylor & Francis
The utility of Enhanced Thematic Mapper Plus (ETM+) has been diminished since the 2003
scan-line corrector (SLC) failure. Uncorrected images have data gaps of approximately 22 …