A review of vegetation phenological metrics extraction using time-series, multispectral satellite data

L Zeng, BD Wardlow, D Xiang, S Hu, D Li - Remote Sensing of …, 2020 - Elsevier
Vegetation dynamics and phenology play an important role in inter-annual vegetation
changes in terrestrial ecosystems and are key indicators of climate-vegetation interactions …

Remote sensing of rice crop areas

C Kuenzer, K Knauer - International Journal of Remote Sensing, 2013 - Taylor & Francis
Rice means life for millions of people and it is planted in many regions of the world. It
primarily grows in the major river deltas of Asia and Southeast Asia, such as the Mekong …

An enhanced pixel-based phenological feature for accurate paddy rice mapping with Sentinel-2 imagery in Google Earth Engine

R Ni, J Tian, X Li, D Yin, J Li, H Gong, J Zhang… - ISPRS Journal of …, 2021 - Elsevier
Accurate paddy rice mapping with remote sensing at a regional scale plays critical roles in
agriculture and ecology. Previous studies mainly employed a single key phenological period …

Transitioning from change detection to monitoring with remote sensing: A paradigm shift

CE Woodcock, TR Loveland, M Herold… - Remote Sensing of …, 2020 - Elsevier
The use of time series analysis with moderate resolution satellite imagery is increasingly
common, particularly since the advent of freely available Landsat data. Dense time series …

Crop height monitoring with digital imagery from Unmanned Aerial System (UAS)

A Chang, J Jung, MM Maeda, J Landivar - Computers and electronics in …, 2017 - Elsevier
Crop height is a very important attribute to assess overall crop condition, irrigation, and
estimation of terminal yield. In this study, a novel method to monitor crop height of Sorghum …

[HTML][HTML] Agricultural labor, COVID-19, and potential implications for food security and air quality in the breadbasket of India

PB Shirsath, ML Jat, AJ McDonald, AK Srivastava… - Agricultural …, 2020 - Elsevier
To contain the COVID-19 pandemic, India imposed a national lockdown at the end of March
2020, a decision that resulted in a massive reverse migration as many workers across …

A near real-time deep learning approach for detecting rice phenology based on UAV images

Q Yang, L Shi, J Han, J Yu, K Huang - Agricultural and Forest Meteorology, 2020 - Elsevier
Near real-time crop phenology detection is essential for crop management, estimation of
harvest time and yield estimation. Previous approaches to crop phenology detection have …

Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring

M Campos-Taberner, FJ García-Haro… - Remote Sensing of …, 2016 - Elsevier
This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …

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 paddy rice using a convolutional neural network (CNN) with Landsat 8 datasets in the Dongting Lake Area, China

M Zhang, H Lin, G Wang, H Sun, J Fu - Remote Sensing, 2018 - mdpi.com
Rice is one of the world's major staple foods, especially in China. Highly accurate monitoring
on rice-producing land is, therefore, crucial for assessing food supplies and productivity …