Monitoring the spatial distribution of high-resolution leaf area index using observations from DMC+4

Huiran Jin, Xin Tao, Wenjie Fan, Xiru Xu, Peijun Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Monitoring the sowing area and the crops growth are the two basic aspects of agricultural remote sensing. With the advantage of DMC+4 simultaneously providing mid-resolution multispectral image and high-resolution panchromatic image, we choose winter wheat as investigated object, establish a vegetation canopy radiation model on the consider of sun-target-sensor geometry and clumping effect to monitor the spatial distribution of the growth condition of winter wheat, and then validate the model through mathematical simulation and field experiment. The work indicates that the model and retrieval method used are available. The spatial scaling effect of LAI is to be further studied.

Original languageEnglish (US)
Title of host publication2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
Pages3681-3684
Number of pages4
DOIs
StatePublished - Dec 1 2007
Externally publishedYes
Event2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007 - Barcelona, Spain
Duration: Jun 23 2007Jun 28 2007

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Other

Other2007 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007
CountrySpain
CityBarcelona
Period6/23/076/28/07

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Keywords

  • DMC+4
  • LAI spatial distribution
  • Vegetation canopy radiation model

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