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 …
changes in terrestrial ecosystems and are key indicators of climate-vegetation interactions …
[HTML][HTML] Mapping crop phenology in near real-time using satellite remote sensing: Challenges and opportunities
Crop phenology is critical for agricultural management, crop yield estimation, and
agroecosystem assessment. Traditionally, crop growth stages are observed from the ground …
agroecosystem assessment. Traditionally, crop growth stages are observed from the ground …
Deep learning based multi-temporal crop classification
This study aims to develop a deep learning based classification framework for remotely
sensed time series. The experiment was carried out in Yolo County, California, which has a …
sensed time series. The experiment was carried out in Yolo County, California, which has a …
A practical approach to reconstruct high-quality Landsat NDVI time-series data by gap filling and the Savitzky–Golay filter
Abstract Normalized Difference Vegetation Index (NDVI) data derived from Landsat satellites
are important resources for vegetation monitoring. However, Landsat NDVI time-series data …
are important resources for vegetation monitoring. However, Landsat NDVI time-series data …
UAV-based multispectral remote sensing for precision agriculture: A comparison between different cameras
L Deng, Z Mao, X Li, Z Hu, F Duan, Y Yan - ISPRS journal of …, 2018 - Elsevier
Unmanned aerial vehicle (UAV)-based multispectral remote sensing has shown great
potential for precision agriculture. However, there are many problems in data acquisition …
potential for precision agriculture. However, there are many problems in data acquisition …
Deep convolutional neural networks for rice grain yield estimation at the ripening stage using UAV-based remotely sensed images
Forecasting rice grain yield prior to harvest is essential for crop management, food security
evaluation, food trade, and policy-making. Many successful applications have been made in …
evaluation, food trade, and policy-making. Many successful applications have been made in …
Garlic and winter wheat identification based on active and passive satellite imagery and the google earth engine in northern china
Garlic and winter wheat are major economic and grain crops in China, and their boundaries
have increased substantially in recent decades. Updated and accurate garlic and winter …
have increased substantially in recent decades. Updated and accurate garlic and winter …
Towards a multiscale crop modelling framework for climate change adaptation assessment
Predicting the consequences of manipulating genotype (G) and agronomic management (M)
on agricultural ecosystem performances under future environmental (E) conditions remains …
on agricultural ecosystem performances under future environmental (E) conditions remains …
Toward mapping crop progress at field scales through fusion of Landsat and MODIS imagery
The ability to regionally monitor crop progress and condition through the growing season
benefits both crop management and yield estimation. In the United States, these metrics are …
benefits both crop management and yield estimation. In the United States, these metrics are …
[HTML][HTML] Use time series NDVI and EVI to develop dynamic crop growth metrics for yield modeling
The normalized difference vegetation index (NDVI) and enhanced vegetation index (EVI)
derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery are …
derived from Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery are …