Hyperspectral remote sensing of forage stoichiometric ratios in the senescent stage of alpine grasslands
文献类型： 外文期刊
作者： Gao, Jinlong 1 ; Liang, Tiangang 1 ; Zhang, Dongmei 5 ; Liu, Jie 1 ; Feng, Qisheng 1 ; Wu, Caixia 1 ; Wang, Zhiwei 6 ; Zhang, Xuanfan 1 ;
作者机构： 1.Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Lanzhou 730000, Peoples R China
2.State Key Lab Herbage Improvement & Grassland Agro, Lanzhou, Peoples R China
3.Minist Agr & Rural Affairs, Key Lab Grassland Livestock Ind Innovat, Lanzhou, Gansu, Peoples R China
4.Minist Educ, Engn Res Ctr Grassland Ind, Lanzhou, Peoples R China
5.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, State Key Lab Cryospher Sci, Lanzhou 730000, Peoples R China
6.Guizhou Acad Agr Sci, Guizhou Inst Prataculture, Guiyang 550006, Peoples R China
7.222 South Tianshui Rd, Lanzhou 730000, Gansu, Peoples R China
关键词： Grass senescence; Hyperspectral data; Stoichiometric ratio; Estimation model; Variable selection
期刊名称：FIELD CROPS RESEARCH （ 影响因子：5.6； 五年影响因子：6.1 ）
ISSN： 0378-4290
年卷期： 2024 年 313 卷
页码：
收录情况： SCI
摘要： Senescence is an important phenological stage in the life cycle of grassland plants, and estimating grass senescence in alpine grasslands is particularly crucial for animal husbandry and grazing the utilization of grassland resources for grazing. However, the application of proximal sensing technologies to capture the variations in forage growth parameters in the senescent stage, especially regarding some key stoichiometric ratios, still faces challenges associated with indiscernible spectral properties and indeterminate absorption and reflectance features. The present study aims to demonstrate the potential and effectiveness of applying hyperspectral data to assess the forage carbon -nitrogen (C:N) ratio and calcium -phosphorus (Ca:P) ratio during the senescent stage (September to November). A progressive variable dimensionality reduction strategy based on a genetic algorithm (GA) and hybrid optimization method (ant optimization colony (ACO) and extreme learning machine (ELM)) coupled with multiple linear and nonlinear statistical methods is applied to develop C:N ratio and Ca:P ratio estimation models via combination with data from 205 sample sites collected from six field campaigns (2016 -2019) on the eastern Tibetan Plateau. The results show that the important spectral bands favorable for forage C:N ratio and Ca:P ratio retrieval are generally in the red and shortwave infrared (SWIR) regions, and the proposed model presents satisfactory performance in the estimation of the forage C:N ratio (V -R 2 = 0.81, V-RMSE = 6.44) and Ca:P ratio (V -R 2 = 0.64, V-RMSE = 2.54) during senescence. Moreover, the model can effectively overcome the spatial differences among sampling areas and perform optimally in capturing the variations in the forage C:N ratio and Ca:P ratio in the early and middle stages of senescence. Overall, our study demonstrates that it is feasible and promising to estimate these stoichiometric ratios using hyperspectral feature bands during grass senescence at the canopy level, with potential applications that may further enhance the monitoring of forage quality and quantity.
- 相关文献
作者其他论文 更多>>
-
Mapping the forage nitrogen, phosphorus, and potassium contents of alpine grasslands by integrating Sentinel-2 and Tiangong-2 data
作者：Zhang, Xuanfan;Liang, Tiangang;Gao, Jinlong;Liu, Jie;Feng, Qisheng;Wu, Caixia;Zhang, Dongmei;Wang, Zhiwei
关键词：Alpine grasslands; Sentinel-2 MSI; Tiangong-2 MWI; Forage quality; Remote sensing
-
RESPONSES OF RHIZOSPHERE SOIL PHYSICOCHEMICAL PROPERTIES, ENZYME ACTIVITIES AND BACTERIAL COMMUNITY TO INTERCROPPING Sophora viciifolia HANCE IN Pennisetum Sinese ROXB PLANTATIONS IN SUBTROPICAL CHINA
作者：Wang, Puchang;Ding, Leilei;Zhang, Yujun;Long, Zhongfu;Wang, Zhiwei;Zhao, Lili
关键词：Intercropping; Pennisetum sinese Roxb; Sophora viciifolio Hance; Soil physicochemical properties; Soil enzyme activities; bacterial community
-
Multi-Scale Validation and Uncertainty Analysis of GEOV3 and MuSyQ FVC Products: A Case Study of an Alpine Grassland Ecosystem
作者：Chen, Jianjun;Huang, Renjie;Yang, Yanping;Feng, Zihao;You, Haotian;Han, Xiaowen;Zhou, Guoqing;Chen, Jianjun;You, Haotian;Han, Xiaowen;Zhou, Guoqing;Yi, Shuhua;Qin, Yu;Wang, Zhiwei;Wang, Zhiwei
关键词：fractional vegetation cover (FVC); GEOV3 and MuSyQ; direct validation; multi-scale validation; alpine grassland ecosystem; heterogeneity of the underlying surface (HUS)
-
Mapping of Kobresia pygmaea Community Based on Umanned Aerial Vehicle Technology and Gaofen Remote Sensing Data in Alpine Meadow Grassland: A Case Study in Eastern of Qinghai-Tibetan Plateau
作者：Meng, Baoping;Yang, Zhigui;Sun, Yi;Zhang, Jianguo;Li, Meng;Lv, Yanyan;Yi, Shuhua;Meng, Baoping;Yang, Zhigui;Sun, Yi;Zhang, Jianguo;Li, Meng;Lv, Yanyan;Yi, Shuhua;Yu, Hongyan;Qin, Yu;Zhang, Wei;Chen, Jianjun;Wang, Zhiwei
关键词：Kobresia pygmaea community; unmanned aerial vehicle; Gaofen satellite; spatial distribution
-
Silicon accumulation by Phragmites australis positively responds to rise in groundwater depth in the desert oasis areas of the HeXi Corridor, China
作者：Kang, Jianjun;Zhao, Wen Zhi;Zhang, Cai Xia;Wang, Zhiwei;Li, Hong
关键词：desert oasis; different landscape habitats; ecological restoration; Gramineae; Si-rich characteristic
-
Species Monitoring Using Unmanned Aerial Vehicle to Reveal the Ecological Role of Plateau Pika in Maintaining Vegetation Diversity on the Northeastern Qinghai-Tibetan Plateau
作者：Qin, Yu;Zhang, Wei;Qin, Yan;Wang, Zhiwei;Sun, Yi;Zhang, Wei;Qin, Yan;Chen, Jianjun;Wang, Zhiwei;Zhou, Zhaoye
关键词：UAV; vegetation species composition; pika's disturbance; alpine grasslands; the Qinghai-Tibetan Plateau
-
Evaluation of lawn color and chlorophyll concentration using hyperspectral index
作者：Zhang, Wen;Chen, Gong;Wu, Hongzhi;Zhang, Wen;Xie, Caiyun;Wang, Zhiwei;Song, Xuelian;Wang, Puchang;Ruan, Xirui;Ding, Leilei;Zhang, Yujun;Liu, Jiajia
关键词：
