Remote sensing based detection of crop phenology for agricultural zones in China using a...

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Satellite remote sensing of vegetation phenology: Progress, challenges, and opportunities

Z Gong, W Ge, J Guo, J Liu - ISPRS Journal of Photogrammetry and …, 2024 - Elsevier
Vegetation phenology serves as a crucial indicator of ecosystem dynamics and its response
to environmental cues. Against the backdrop of global climate warming, it plays a pivotal role …
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[HTML][HTML] Machine Learning-Driven Remote Sensing Applications for Agriculture in India—A Systematic Review

S Pokhariyal, NR Patel, A Govind - Agronomy, 2023 - mdpi.com
In India, agriculture serves as the backbone of the economy, and is a primary source of
employment. Despite the setbacks caused by the COVID-19 pandemic, the agriculture and …
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Map** crop** intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine

L Liu, X ** intensity has undergone dramatic changes worldwide due to the effects of climate
changes and human management activities. Crop** intensity is an important factor …
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[HTML][HTML] Map** crop** intensity in Huaihe basin using phenology algorithm, all Sentinel-2 and Landsat images in Google Earth Engine

L Pan, H ** intensity …
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[HTML][HTML] Map** winter crops using a phenology algorithm, time-series Sentinel-2 and Landsat-7/8 images, and Google Earth Engine

L Pan, H ** paddy rice with sentinel-1/2 and phenology-, object-based algorithm—A implementation in Hangjiahu plain in China using gee platform
W ** is hampered by the following
factors:(1) The frequent occurrence of clouds in such areas during the rice-growing season …
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Near real-time detection and forecasting of within-field phenology of winter wheat and corn using Sentinel-2 time-series data

C Liao, J Wang, B Shan, J Shang, T Dong… - ISPRS Journal of …, 2023 - Elsevier
Near real-time (NRT) crop phenology detection and forecasting at the sub-field level are
important for crop growth monitoring and management in precision agriculture. Previous …
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[HTML][HTML] Map** crop cycles in China using MODIS-EVI time series

L Li, MA Friedl, Q **n, J Gray, Y Pan, S Frolking - Remote Sensing, 2014 - mdpi.com
As the Earth's population continues to grow and demand for food increases, the need for
improved and timely information related to the properties and dynamics of global agricultural …
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Impacts of climate changes on the maximum and minimum temperature in Iran

G Fallah-Ghalhari, F Shakeri… - Theoretical and Applied …, 2019 - Springer
In this paper, trends of minimum and maximum temperatures in Iran were studied using time
series of daily minimum and maximum temperatures of 45 meteorological stations from 1976 …
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