The simulation of land surface process with MODIS data in Haihe basin, China

  • Zhiqiang Gao*
  • , Wei Gao
  • , Cao Xiaoming
  • , Maosi Chen
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

By using MODIS data products, combined with DEM data, land use data, meteorological data, employed SEB AL model light use efficiency model PAR model and the algorithm of vegetation index the parameters of ET (Evapotranspiration), NPP (Net Primary Product (PAR (Photosynthetic Active Radiation) NDVI (Normalized Difference Vegetation Index) and EVI (Fnhance Vegetation Index) in Haihe River Basin were estimated The impacts of elevation and land cover change on ET NPP PAR, NDVI and EVI are analyzed. We found that the impacts of elevation and land cover change on parameters are significant. The conclusions are as follows: 1) The ET in areas below 500m is the biggest, the ET in areas above 1500m is bigger and the ET in areas between 500-1500 is the smallest. 2) The impacts of location and elevation on PAR are significant, the PAR in areas with lower elevation is smaller; with the rising of elevation, the PAR has a increasing trend. The difference of PAR in different land cover is caused with location and elevation. 3) The NPP, NDVI and EVI in areas between 20-800m are bigger, and the values of these parameters in others areas is smaller. 4) The NDVI, EVI and NPP in areas covered with farmland, grassland and forest are bigger, and the values of these parameters in areas covered with unused land, water body and built-up land are smaller.

Original languageEnglish
Title of host publicationRemote Sensing and Modeling of Ecosystems for Sustainability IX
DOIs
StatePublished - 2012
Externally publishedYes
EventRemote Sensing and Modeling of Ecosystems for Sustainability IX - San Diego, CA, United States
Duration: 16 Aug 201216 Aug 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8513
ISSN (Print)0277-786X

Conference

ConferenceRemote Sensing and Modeling of Ecosystems for Sustainability IX
Country/TerritoryUnited States
CitySan Diego, CA
Period16/08/1216/08/12

Keywords

  • China
  • Haihe Basin
  • MODIS
  • Simulation

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