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Improving remotely-sensed crop monitoring by NDVI-based crop phenology estimators for corn and soybeans in Iowa and Illinois, USA

  • Published:2019-05 Issue: Volume:238 Page:113-128
  • ISSN:0378-4290
  • Container-title:Field Crops Research
  • language:en
  • Short-container-title:Field Crops Research

Author:

Seo Bumsuk,Lee Jihye,Lee Kyung-Do,Hong Sukyoung,Kang Sinkyu

Funder

Agenda Program of the Rural Development Administration

Helmholtz Association

Kangwon National University

Publisher

Elsevier BV

Subject

Soil Science,Agronomy and Crop Science

Reference81 articles.

1. Drought impact on crop production and the soil environment: 2012 experiences from Iowa;Al-Kaisi;J. Soil Water Conserv.,2013

2. A look at the remote sensing applications program of the National Agricultural Statistics Service;Allen;J. Off. Stat.,1990

3. A biogeophysical approach for automated SWIR unmixing of soils and vegetation;Asner;Remote Sens. Environ.,2000

4. Uncertainty in simulating wheat yields under climate change;Asseng;Nat. Clim. Change,2013

5. Advances in remote sensing of agriculture: context description, existing operational monitoring systems and major information needs;Atzberger;Remote Sens.,2013
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