Journal of Optoelectronics · Laser, Volume. 33, Issue 2, 120(2022)
Research on recognition method of desert steppe rat hole based on unmanned aerial vehicle hyperspectral
[1] [1] SUN D,ZHENG J H,MA T,et al.The analysis of burrows recognition accuracy in Xinjiang′s pasture area based on UAV visible images with different spatial resolution[J].Int.Arch.Photogramm.Remote Sens.Spat.Inf.Sci,2018,42(3):1575-1579.
[5] [5] HE D,HUANG X,TIAN Q,et al.Changes in vegetation growth dynamics and relations with climate in inner mongolia under more strict multiple pre-processing (2000—2018)[J].Sustainability,2020,12(6):2534.
[8] [8] LI K,WANG L,YIN D.Deriving corn and soybeans fractions with land remote-sensing satellite (system,landsat) imagery by accounting for endmember variability on google earth engine[J].International Journal of Remote Sensing,2021,42(12):4493-4513.
[18] [18] XIONG Y,LI Y,XIONG S,et al.Multi-scale spatial correlation between vegetation index and terrain attributes in a small watershed of the upper Minjiang river[J].Ecological Indicators,2021,126(3):107610.
[19] [19] REN H,ZHOU G,ZHANG F.Using negative soil adjustment factor in soil-adjusted vegetation index (SAVI) for aboveground living biomass estimation in arid grasslands[J].Remote Sensing of Environment,2018,209(5):439-445.
Get Citation
Copy Citation Text
ZHANG Tao, DU Jianmin, ZHANG Haijun, PI Weiqiang, GAO Xinchao, ZHU Xiangbing. Research on recognition method of desert steppe rat hole based on unmanned aerial vehicle hyperspectral[J]. Journal of Optoelectronics · Laser, 2022, 33(2): 120
Received: May. 20, 2021
Accepted: --
Published Online: Oct. 9, 2024
The Author Email: DU Jianmin (nndjwc202@imau.edu.cn)