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Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009
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Page 1: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

Institute for Geospatial Research & Education Eastern Michigan University

Inner Mongolia Study Progress

Zhangbao Ma

10/5/2009

Page 2: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

Contents

1. Sites Selection in Inner Mongolia

2. Data preparation

3. Theoratical Research

Page 3: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

1. Sites Selection in Inner Mongolia

Primary production and rain use efficiency across a precipitation gradient on the Mongolia plateau by Bai Yongfei etc.

Page 4: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

1. Sites Selection in Inner Mongolia

Page 5: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

1. Sites Selection in Inner Mongolia

Page 6: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

1. Sites Selection in Inner Mongolia

Page 7: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

1. Sites Selection in Inner Mongolia

Page 8: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

1. Sites Selection in Inner Mongolia

Proposed Selection Results:

1.EwenkeQi meadow steppe 119o41’17” 48o27’40 ”

2.Xilinhaote typical steppe 116o33’32” 43o32’31 ”

3.WulatezhongQi desert steppe 108o28’12” 41o46’26 ”

We can collect these related data of the three county.

Page 9: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

2.Data preparation-Collected Rs

TM

Xilin River

RS

ETM+

Xilin River

We have collected Xilin River TM and ETM+.

Page 10: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

2.Data preparation-Collected Rs

Xilin River TM

1979

1985

1987

1998

1999

2000

1989

1990

1995

2001

2002

2004

Xilin River TM data include:

Page 11: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

2.Data preparation-Collected Rs

2001.8

Text2002.9

2002.6

2002.6

Xilin River ETM+

Xilin River ETM+ data include:

Page 12: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

2.Data preparation-Collecting Rs

Collect RS data of Ewenke Qi

Continue to collect RS data

Wulatezhong Qi

Ewenke Qi

Xilin River

Collect RS data of Wulatezhong Qi

We will collect the RS data of Wulatezhong Qi, Ewenke Qi and perfect Xilin River RS data.

Page 13: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

3. Theoratical Research-Related papers

(1) A comparison of two models with Landsat data for estimating above ground grassland biomass in Inner Mongolia, China by Yichun Xie etc

In this paper, two models, artificial neural network (ANN) and multiple linear regression (MLR), were developed to estimate typical grassland aboveground dry biomass in Xilingol River Basin, Inner Mongolia, China. The normalized difference vegetation index (NDVI) and topographic variables (elevation, aspect, and slope) were combined with atmospherically corrected reflectance from the Landsat ETM+ reflective bands as the candidate input variables for building both models. Seven variables (NDVI, aspect, and bands 1, 3, 4,5 and 7) were selected by the ANN model (implemented in Statistica 6.0 neural network module), while six (elevation, NDVI, and bands 1, 3, 5 and 7) were picked to fit the MLR function after a stepwise analysis was executed between the candidate input variables and the above ground dry biomass.

Page 14: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

3. Theoratical Research-Related papers

(2) Primary production of Inner Mongolia, China, between 1982 and 1999 estimated by a satellite data-driven light use efficiency model by Sara Brogaard etc

The aim of this study is to develop and adapt a satellite data-driven gross primary production model called Lund University light use efficiency model (LULUE) to temperate conditions in order to map gross primary production (GPP) for the Grasslands of Inner Mongolia Autonomous Region (IMAR), China, from 1982 to 1999. The water stress factor included in the original model has been complemented with two temperature stress factors. In addition, algorithms that allocate the proportions of C3/C4 photosynthetic pathways used by plants and that compute temperature-based C3 maximum efficiency values have been incorporated in the model.

Page 15: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

3. Theoratical Research-Related papers

(3) Using a hybrid fuzzy classifier (HFC) to map typical grassland vegetation inXilin River Basin, Inner Mongolia, China by Zongyao Sha etc

In this paper, a hybrid fuzzy classifier (HFC) for vegetation classification with Landsat ETM+ imagery on the typical grassland in Xilinhe River Basin, Inner Mongolia, China has been developed. The overall result of the HFC was much better than that of the CSC.

We can use this method to make supervised classification.

Page 16: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

3. Theoratical Research-Related papers

(4) Primary production and rain use efficiency across a precipitation gradient on the Mongolia plateau by Yongfei Bai etc

(1) ANPP increased while the interannual variability of ANPP declined

(2) plant species richness increased and the relative abundance of key functional groups shifted predictably

(3) RUE increased in space across different ecosystems but decreased with increasing annual precipitation within a given ecosystem.

These findings have important implications for understanding and predicting ecological impacts of global climate change and for management practices in arid and semiarid ecosystems in the Inner Mongolia steppe region and beyond.

Page 17: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

http://igre.emich.eduEastern Michigan University

3. Theoratical Research-Next step

supervised classification

Data processingCalculate GPP

and NPP

Processing ClassificationGPPNPP

Page 18: Institute for Geospatial Research & Education Eastern Michigan University Inner Mongolia Study Progress Zhangbao Ma 10/5/2009.

Institute for Geospatial Research & Education Eastern Michigan University

http://igre.emich.edu

Discussion and Suggestion