1. Detect geographic and temporal patterns of land use and land cover change in China from 1982 to 2012 Yaqian He, Eungul Lee, and Timothy A. Warner May 5 th, 2016 West Virginia GIS Conference

2. Contents Results Data & Methods Objectives Introduction

3. Geography of China (MODIS MCD12Q1: 2012) Introduction: Background Cropland Forest Grassland Barren

4. 2013:1.37 billion people More food More water Introduction: Background

5. Desertification Agriculture Urbanization Deforestation Afforestation Introduction: Background

6. Introduction: Research gaps LULC map A potential vegetation map A map of a specific year representing the entire study period (Fu 2003; Zhu 2012)

7. Introduction: Research gaps LULC map A potential vegetation map A map of a specific year representing the entire study period  Continuous annual land use and land cover map is needed to detect LULCC (Fu 2003; Zhu 2012)

8. Objectives Detect geographic and temporal patterns of land use and land cover change in China based on continuous annual LULC maps from 1982 to 2012

9. Data and Method: Data Datasets  NOAA AVHRR GIMMS NDVI3g from 1982 to 2012  NASA MODIS MCD12Q1 from 2001 to 2012  Google Earth: land use and land cover images in 2012

10. 1. Classification: Phenology Phenological metrics AVHRR GIMMS NDVI time- series from 1982 to 2012 Random Forests Annual LULC maps MODIS MCD12Q1 from 2001 to 2010 Geographic areas of unchanged land use and land cover Temporal filtering Data and Methods: Methods

11. 2. Inter- comparison and Validation 2011-2012 MODIS MCD12Q1, 300 samples from Google Earth LULC maps

12. Data and Methods: Methods 3. Change detection Annual LULC maps from 1982 to 2012 Geographic and temporal patterns of LULCC Linear regression trend analysis Y=a + bX + e

13. Results: LULC maps 1982 1992 2002 2012

14. Results: LULC maps Accuracy 2011 2012 71.0% for 2011, and 69.3% for 2012

15. Results: LULC maps Accuracy Overall accuracy 73.6% UMD 1992:69% GLC2000: 68.6% MODIS: 75% MERIS: 67.1% It is reliable to use our annual LULC maps!

16. Results: LULCC spatial pattern Cropland Forest Grassland

17. Results: LULCC temporal pattern

18. Thank you!