Disaggregation of low resolution NDVI data for monitoring vegetation in mining area
- 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 -