Disaggregation of low resolution NDVI data for monitoring vegetation in mining area
Authors
Xuanxuan Zhang, Yi Jia, Po Miao, Xiaorong Zhang, Baodong Ma
Corresponding Author
Xuanxuan Zhang
Available Online August 2013.
- DOI
- 10.2991/rsete.2013.230How to use a DOI?
- Keywords
- vegetation monitoring, MODIS NDVI, disaggregation, mining area, digital mine
- Abstract
Vegetation cover in mining area may be influenced by the exploitation and utilization of mineral resources. Because of the small size of mine goaf, coarse-resolution remote sensed images are not able to detect the variation of vegetation above the goaf. In this paper, the 250 m MODIS NDVIs were disaggregated into 30 m NDVIs by the help of land-cover map based on TM images. The result showed that the disaggregation precision is higher using the NDVI-based density slicing land-cover map than false-color-composite supervised-classified land-cover map. In addition, the number of selected pixels for building system of equations was discussed to reduce the amount of calculation on the premise of ensuring the precision.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Xuanxuan Zhang AU - Yi Jia AU - Po Miao AU - Xiaorong Zhang AU - Baodong Ma PY - 2013/08 DA - 2013/08 TI - Disaggregation of low resolution NDVI data for monitoring vegetation in mining area BT - Proceedings of the 2013 the International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE 2013) PB - Atlantis Press SP - 947 EP - 950 SN - 1951-6851 UR - https://doi.org/10.2991/rsete.2013.230 DO - 10.2991/rsete.2013.230 ID - Zhang2013/08 ER -