A review of vegetation phenological metrics extraction using time-series, multispectral satellite data
L Zeng, BD Wardlow, D ** with Sentinel-2 imagery in Google Earth Engine
Accurate paddy rice map** with remote sensing at a regional scale plays critical roles in
agriculture and ecology. Previous studies mainly employed a single key phenological period …
agriculture and ecology. Previous studies mainly employed a single key phenological period …
Transitioning from change detection to monitoring with remote sensing: A paradigm shift
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 …
common, particularly since the advent of freely available Landsat data. Dense time series …
Crop height monitoring with digital imagery from Unmanned Aerial System (UAS)
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 …
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
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 …
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
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 …
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
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 …
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 …
management. Field-scale models have increased our understanding of rice yield and its …
Map** 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 …
on rice-producing land is, therefore, crucial for assessing food supplies and productivity …