Estimation of fractional vegetation cover dynamics and its drivers based on multi-sensor data in Dera Ismail Khan, Pakistan

被引:23
作者
Anees, Shoaib Ahmad [1 ,2 ]
Zhang, Xiaoli [1 ,2 ]
Khan, Khalid Ali [3 ,4 ]
Abbas, Manzar [5 ]
Ghramh, Hamed A. [3 ,4 ,6 ]
Ahmad, Zubair [3 ,4 ]
机构
[1] Beijing Forestry Univ, Forestry Coll, Beijing Key Lab Precis Forestry, Beijing 100083, Peoples R China
[2] Beijing Forestry Univ, Key Lab Silviculture & Conservat Minist Educ, Beijing 100083, Peoples R China
[3] King Khalid Univ, Res Ctr Adv Mat Sci RCAMS, POB 9004, Abha 61413, Saudi Arabia
[4] King Khalid Univ, Fac Sci, Unit Bee Res & Honey Prod, POB 9004, Abha 61413, Saudi Arabia
[5] Yibin Univ, Sch Agr Forestry & Food Engn, Yibin 644000, Sichuan, Peoples R China
[6] King Khalid Univ, Fac Sci, Biol Dept, POB 9004, Abha 61413, Saudi Arabia
关键词
Timeseries; NDVI; MODIS; Landsat; Dynamics; Driving forces; MODIS; REGION; ENVIRONMENT; RANGELANDS; INDEXES; IMAGES; MODEL; EARTH;
D O I
10.1016/j.jksus.2022.102217
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Time series study about the changes in Fractional Vegetation Cover (FVC) with its drivers is studied. From 2003 to 2013, FVC was calculated using remotely sensed data from the Moderate Resolution Imaging Spectroradiometer-Normalized Difference Vegetation Index (MODIS-NDVI), Landsat-7, Defense Meteorological Satellite Program/Operational Linescan System (DMSP/OLS), and Compound Night Light Index (CNLI). The mean value of FVC is 0.34 (34 %). The findings indicate that the highest annual mean values are between 34% and 37%, and 31% and 33%, that correspond to level of 70% and 40%, respectively. The trend analysis by MODIS and Landsat-7 has the low (10%) FVC in the northern parts due to increase in industrial development, urbanization, changes in landuse, landcover and other linked environmental fac-tors. The southwestern-southeastern and eastern areas showed medium (40 %) and high (70 %) FVC respectively. This is because of water availability and less human disturbance. (c) 2022 The Author(s). Published by Elsevier B.V. on behalf of King Saud University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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页数:7
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