PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans-Reference-Cited by-同舟云学术

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PhenoCrop: An integrated satellite-based framework to estimate physiological growth stages of corn and soybeans

Published:2020-10 Issue: Volume:92 Page:102188
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Bandaru Varaprasad,Yaramasu Raghu,PNVR Koutilya,He Jiaying,Fernando Sedano,Sahajpal Ritvik,Wardlow Brian D.,Suyker Andrew,Justice Chris

Funder

NASA carbon monitoring system program

NASA harvest program

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference73 articles.

1. Simulating planting date effects on corn production using RZWQM and CERES-Maize models;Anapalli;Agron. J.,2005

2. Inter-comparison of four models for smoothing satellite sensor time-series data to estimate vegetation phenology;Atkinson;Remote Sens. Environ.,2012

3. Estimating crop net primary production using inventory data and MODIS derived parameters;Bandaru;Isprs J. Photogramm. Remote. Sens.,2013

4. Impact of biases in gridded weather datasets on biomass estimates of short rotation woody cropping systems;Bandaru;Agric. For. Meteorol.,2017

5. Improved monitoring of vegetation dynamics at very high latitudes: a new method using MODIS NDVI;Beck;Remote Sens. Environ.,2006

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4. Developing an operational algorithm for near-real-time monitoring of crop progress at field scales by fusing harmonized Landsat and Sentinel-2 time series with geostationary satellite observations;Remote Sensing of Environment;2023-10

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