Feature-based algorithm for large-scale rice phenology detection based on satellite images
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Title
Feature-based algorithm for large-scale rice phenology detection based on satellite images
Authors
Keywords
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Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 329, Issue -, Pages 109283
Publisher
Elsevier BV
Online
2022-12-17
DOI
10.1016/j.agrformet.2022.109283
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- (2019) Yidi Sun et al. FIELD CROPS RESEARCH
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- (2019) Qi Yang et al. FIELD CROPS RESEARCH
- Monitoring and Mapping of Rice Cropping Pattern in Flooding Area in the Vietnamese Mekong Delta Using Sentinel-1A Data: A Case of An Giang Province
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- Progressive integrative crop managements increase grain yield, nitrogen use efficiency and irrigation water productivity in rice
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- Understanding the temporal behavior of crops using Sentinel-1 and Sentinel-2-like data for agricultural applications
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- RiceAtlas, a spatial database of global rice calendars and production
- (2017) Alice G. Laborte et al. Scientific Data
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- (2016) Revati S. More et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Spectral considerations for modeling yield of canola
- (2016) John J. Sulik et al. REMOTE SENSING OF ENVIRONMENT
- Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
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- Assessment of MODIS spectral indices for determining rice paddy agricultural practices and hydroperiod
- (2015) Lucia Tornos et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
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- (2015) Youngjoo Kwak et al. Remote Sensing
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- Towards an Operational SAR-Based Rice Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project
- (2014) Andrew Nelson et al. Remote Sensing
- Modeling the response of rice phenology to climate change and variability in different climatic zones: Comparisons of five models
- (2012) Shuai Zhang et al. EUROPEAN JOURNAL OF AGRONOMY
- Investigating Rice Cropping Practices and Growing Areas from MODIS Data Using Empirical Mode Decomposition and Support Vector Machines
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- MIRCA2000-Global monthly irrigated and rainfed crop areas around the year 2000: A new high-resolution data set for agricultural and hydrological modeling
- (2010) Felix T. Portmann et al. GLOBAL BIOGEOCHEMICAL CYCLES
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