Research on Inversion of Water Conservation Distribution of Forest Ecosystem in Alpine Mountain Based on Spectral Features
NIU Teng1, 3, LU Jie1, 2*, YU Jia-xin4, WU Ying-da5, LONG Qian-qian3, YU Qiang3
1. Institute of Tibet Plateau Ecology, Tibet Agriculture & Animal Husbandry University, Linzhi 860000, China
2. Key Laboratory of Forest Ecology in Tibet Plateau(Tibet Agriculture & Animal Husbandry University), Ministry of Education, Linzhi 860000, China
3. Beijing Key Laboratory of Precision Forestry, Beijing Forestry University, Beijing 100083, China
4. Hutuohe State-Owned Forest Farm of Shijiazhuang Forestry Bureau, Shijiazhuang 050000, China
5. Forest and Grassland Fire Fighting Research of China Fire and Rescue Institute, Beijing 102202, China
Abstract：Water conservation in forest ecosystems has ecological functions such as regulating climate and maintaining ecological water balance. As an alpine region, the Qinghai-Tibet Plateau cannot manually observe water conservation on the spot due to its high altitude and harsh environment. In order to better obtain water conservation in alpine regions, remote sensing technology is introduced, and the value of water conservation in a specific area is obtained through remote sensing inversion. This study takes Nyingchi Bayi District as the study area. The study area uses four types of vegetation: Nyingchi Spruce, Alpine Quercus, Alpine Pine and Snow Rhododendron as the main tree species. Remote sensing images cannot directly obtain water conservation information, but the value of water conservation can be inverted by constructing a quantitative relationship between vegetation leaf spectral information and water conservation. To study the quantitative relationship between different vegetations and water conservation, collect 1 000 leaf samples and water conservation data from 10 sampling points for each vegetation, use ASD spectrometer to obtain hyperspectral data, select fitting parameters through correlation, and build a regression model of water conservation. The Sentinel-2 remote sensing image was used to invert the water conservation distribution of vegetation in the study area, and the inversion results were verified. The results show that the reflectance spectra of the four types of vegetation leave all show similar regularities. The difference is not obvious in the visible light band, and there are four obvious water absorption bands in the near-infrared to the mid-infrared band (700～1 400 nm), and the reflectivity in the red to near-infrared band highest. The spectral reflectance showed the order of Alpine Quercus>Alpine Pine>Lingzhi Spruce≈Snow Rhododendron. Through experiments, the vegetation canopy interception, litter water holding capacity and soil water content are obtained. The sum of the three represents the water conservation capacity of the vegetation, and the relationship between the spectral characteristics of the vegetation and the water conservation capacity is analyzed. Moreover, through the Pearson coefficient to evaluate the quantitative relationship between band parameters and water conservation, it is determined that the four parameters R540, R1 950, NDWI and NDVI are significantly related to water conservation. Based on the above parameters and the water conservation of the four types of vegetation, a regression model of water conservation was constructed. The vegetation water conservation in the study area was inverted through the model to verify the simulation accuracy. The overall inversion accuracy R2 is greater than 0.7, and the RMSE is less than 10. It shows that the prediction model has a good inversion effect, and the model can effectively estimate the water conservation of the forest ecosystem.
牛 腾，卢 杰，于佳鑫，武英达，龙芊芊，于 强. 基于光谱特征的高寒山区森林生态系统水源涵养分布反演研究[J]. 光谱学与光谱分析, 2022, 42(02): 530-536.
NIU Teng, LU Jie, YU Jia-xin, WU Ying-da, LONG Qian-qian, YU Qiang. Research on Inversion of Water Conservation Distribution of Forest Ecosystem in Alpine Mountain Based on Spectral Features. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 530-536.
[1] LI Yang, WANG Gen-xu, RUI Peng-fei, et al(李 阳，王根绪，芮鹏飞，等). Mountain Research(山地学报)，2020，38(2)：190.
[2] ZHANG Zhong-hua, ZHOU Hua-kun, ZHAO Xin-quan, et al（张中华，周华坤，赵新全，等）. Biodiversity Science（生物多样性）, 2018, 26(2): 111.
[3] CHEN Lin-lin, LIU Hua, LIU Yan-xu（陈琳琳，刘 华，刘焱序）. Bulletin of Soil and Water Conservation（水土保持通报），2018, 38(6): 277.
[4] SONG Chun-lin, SUN Xiang-yang, WANG Gen-xu（宋春林，孙向阳，王根绪）. Chinese Journal of Applied Ecology（应用生态学报），2015, 26(9): 2891.
[5] TU Zhi-hua, PANG Zhuo, ZHAO Yang, et al(涂志华，庞 卓，赵 阳，等). Science Circumstantiae(环境科学学报)，2015，35(9)：2948.
[6] LI Yang, WAN Fu-xu(李 阳，万福绪). Journal of Soil and Water Conservation(水土保持学报)，2019，33(2)：264.
[7] LIU Lu-lu, CAO Wei, SHAO Quan-qin（刘璐璐，曹 巍，邵全琴）. Scientia Geographica Sinica（地理科学），2016, 36(4): 603.
[8] ZHANG Hong-feng, YUAN Su-fen（张宏峰，袁素芬）. Acta Ecologica Sinica（生态学报）, 2016, 36(24): 8120.
[9] WANG Xiao-xue, LI Xu-yong, WU Xiu-qin(王晓学，李叙勇，吴秀琴). Acta Ecologica Sinica(生态学报)，2012，32(3)：907.
[10] HAO Long, ZHANG Ting, LI Xiang-yun, et al（郝 泷，张 挺，厉香蕴，等）. Journal of Central South University of Forestry and Technology(中南林业科技大学学报)，2021，41(6)：31.
[11] TANG Jie, LIN Xiao-sheng, HOU Ke-yi, et al(汤 洁，林晓晟，侯克怡，等). Journal of Northeast Normal University(东北师范大学学报)，2014，46(4)：139.
[12] GUO Meng-jiao, ZHU Jiang, CHENG Xiao-qin, et al（郭梦娇，朱 江，程小琴，等）. Journal of Soil and Water Conservation（水土保持学报）, 2016, 30(3)：279.
[13] SU Kai, YU Qiang, HU Ya-hui, et al（苏 凯，于 强，胡雅慧，等）. Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2020, 40(6)：1696.
[14] JIANG Pei-pei, CAO Yang, CHEN Yun-ming（姜沛沛, 曹 杨，陈云明）. Acta Ecologica Sinica(生态学报)，2016，36(19)：6188.
[15] LIU Jia-yi, DENG Li-jiao, FU Guo-bin, et al（刘甲毅，邓丽姣，傅国斌，等）. Journal of Applied Meteorological Sciene(应用气象学报），2018，29(6)：737.
