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Machine learning algorithm for estimating karst rocky desertification in a peak-cluster depression basin in southwest Guangxi, China

  • Wang, S., Liu, Q. & Zhang, D. Karst rocky desertification in southwestern China: Geomorphology, landuse, impact and rehabilitation. Land Degrad. Dev. 15(2), 115–121 (2004).

    Google Scholar 

  • Jiang, M. et al. Geologic factors leadingly drawing the macroecological pattern of rocky desertification in southwest China. Sci. Total Environ. 458–460, 419–426 (2013).

    Google Scholar 

  • Jiang, Z., Lian, Y. & Qin, X. Rocky desertification in Southwest China: Impacts, causes, and restoration. Earth-Sci. Rev. 132, 1–12 (2014).

    ADS 

    Google Scholar 

  • Xu, E., Zhang, H. & Li, M. Object-based mapping of karst rocky desertification using a support vector machine. Land Degrad. Dev. 26(2), 158–167 (2012).

    Google Scholar 

  • Li, Y., Bai, X., Wang, S. & Tian, Y. Integrating mitigation measures for karst rocky desertification land in the Southwest mountains of China. Carbonates Evaporites 34, 1095–1106 (2018).

    Google Scholar 

  • Lan, J. Responses of soil organic carbon components and their sensitivity to karst rocky desertification control measures in Southwest China. J. Soil. Sediment. 21, 978–989 (2020).

    Google Scholar 

  • Gao, J., Du, F., Zuo, L. & Jiang, Y. Integrating ecosystem services and rocky desertification into identification of karst ecological security pattern. Landscape Ecol. 36, 2113–2133 (2020).

    Google Scholar 

  • Huang, X. et al. Driving factors and prediction of rock desertification of non-tillage lands in a karst basin, Southwest China. Pol. J. Environ. Stud. 30(4), 3627–3635 (2021).

    CAS 

    Google Scholar 

  • Chen, S., Zhou, Z., Yan, L. & Li, B. Quantitative evaluation of ecosystem health in a karst area of South China. Sustain. Basel 8(10), 975 (2016).

    Google Scholar 

  • Liu, F., He, B. Y. & Kou, J. F. Landsat thermal remote sensing to investigate the present situation and variation characteristics of karst rocky desertification in Pingguo County of Guangxi, Southwest China. Sci. Soil Water Conserv. 15(02), 125–131 (2017).

    Google Scholar 

  • Zhang, X., Shang, K., Cen, Y., Shuai, T. & Sun, Y. Estimating ecological indicators of karst rocky desertification by linear spectral unmixing method. Int. J. Appl. Earth Obs. Geoinf. 31, 86–94 (2014).

    ADS 
    CAS 

    Google Scholar 

  • Zhang, Z., Ouyang, Z., Xiao, Y., Xiao, Y. & Xu, W. Using principal component analysis and annual seasonal trend analysis to assess karst rocky desertification in southwestern China. Environ. Monit. Assess. 189(6), 1–19 (2017).

    Google Scholar 

  • Li, S. & Wu, H. Mapping karst rocky desertification using Landsat 8 images. Remote Sens. Lett. 6(9), 657–666 (2015).

    Google Scholar 

  • Yang, S. X., Lin, H., Hou, F., Zhang, L. P. & Hu, Z. L. Estimating karst area vegetation coverage by pixel unmixing. Bull. Surv. Mapp. 5, 23–27 (2014).

    Google Scholar 

  • Xiong, Y., Yue, Y. M. & Wang, K. L. Comparative study of indicator extraction for assessment of karst rocky desertification based on hyperion and ASTER images. Bull. Soil Water Conserv. 33(03), 186–190 (2013).

    Google Scholar 

  • Dai, G., Sun, H., Wang, B., Huang, C., Wang, W., Yao, Y., et al. Assessment of karst rocky desertification from the local to regional scale based on unmanned aerial vehicle images: Acase-study of Shilin County, Yunnan Province, China. Land Degrad. Dev. 1–14 (2021).

  • Pu, J., Zhao, X., Dong, P., Wang, Q. & Yue, Q. Extracting information on rocky desertification from satellite images: A comparative study. Remote Sens. 13(13), 2497 (2021).

    ADS 

    Google Scholar 

  • Yue, Y. M. et al. Remote sensing of indicators for evaluating karst rocky desertification. Procedia Environ. Sci. 15(04), 722–736 (2011).

    Google Scholar 

  • Huang, Q. & Cai, Y. Spatial pattern of Karst rock desertification in the middle of Guizhou Province. Southwestern China. Environ. Geol. 52(7), 1325–1330 (2006).

    MathSciNet 

    Google Scholar 

  • Wang, J., Li, S., Li, H., Luo, H. & Wang, M. Classifying indices and remote sensing image characters of rocky desertification lands: a case of karst region in Northern Guangdong Province. J. Desert Res. 5, 765–770 (2007).

    Google Scholar 

  • Chen, F. et al. Assessing spatial-temporal evolution processes and driving forces of karst rocky desertification. Geocarto Int. 1–22 (2019).

  • Qi, X., Zhang, C. & Wang, K. Comparing remote sensing methods for monitoring karst rocky desertification at sub-pixel scales in a highly heterogeneous karst region. Sci. Rep-UK https://doi.org/10.1038/s41598-019-49730-9 (2019).

    Article 

    Google Scholar 

  • Yue, Y. et al. Spectral indices for estimating ecological indicators of karst rocky desertification. Int. J. Remote Sens. 31(8), 2115–2122 (2010).

    Google Scholar 

  • Yan, Y., Hu, B. Q., Han, Q. Y. & Li, Y. L. Early warning for karst rocky desertification in agricultural land base on the 3S and ANN technique: A case study in Du’an County, Guangxi. Carsologica Sin. 31(01), 52–58 (2012).

    Google Scholar 

  • Zhang, J. et al. Spectral analysis of seasonal rock and vegetation changes for detecting karst rocky desertification in southwest China. Int. J. Appl. Earth Obs. Geoinf. https://doi.org/10.1016/j.jag.2021.102337 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Liu, Y., Wang, J. & Deng, X. Rocky land desertification and its driving forces in the karst areas of rural Guangxi, Southwest China. J. Mt. Sci-Engl. 5(4), 350–357 (2008).

    Google Scholar 

  • Li, Y., Xie, J., Luo, G., Yang, H. & Wang, S. The evolution of a karst rocky desertification land ecosystem and its driving forces in the Houzhaihe Area, China. J. Ecol. 5, 501–512 (2015).

    Google Scholar 

  • Zhang, Y. R., Zhou, Z. F. & Ma, S. B. Rocky desertification and climate change characteristics in typical karst area of Guizhou Province over past two decades. Environ. Sci. Technol. 37(09), 192–197 (2014).

    Google Scholar 

  • Bai, X. Y., Wang, S. J., Chen, Q. W. & Cheng, A. Y. Constrains of lithological background of carbonate rock on spatio-temporal evolution of karst rocky desertification land. Earth Sci. 35(4), 691–696 (2010).

    Google Scholar 

  • Li, L. & Xiong, K. Study on peak-cluster-depression rocky desertification landscape evolution and human activity-influence in South of China. Eur. J. Remote Sens. 1–9 (2020).

  • Yao, Y. H., Shuo, N. D. Z., Zhang, J. Y., Hu, Y. F. & Kou, Z. X. Spatiotemporal characteristics of karst rocky desertification and the impact of human activities from 2010 to 2015 in Guanling County, Guizhou Province. Prog. Geogr. 38(11), 1759–1769 (2019).

    Google Scholar 

  • Shi, K., Yang, Q. & Li, Y. Are karst rocky desertification areas affected by increasing human activity in Southern China? An empirical analysis from nighttime light data. Int. J. Environ. Res. Public Health. 16(21), 4175 (2019).

    PubMed Central 

    Google Scholar 

  • Luo, X. L. et al. Analysis on the spatio- temporal evolution process of rocky desertification in Southwest Karst area. Acta Ecol. Sin. 41(02), 680–693 (2021).

    Google Scholar 

  • Yang, Q., Jiang, Z., Yuan, D., Ma, Z. & Xie, Y. Temporal and spatial changes of karst rocky desertification in ecological reconstruction region of Southwest China. Envirov. Earth Sci. 72(11), 4483–4489 (2014).

    Google Scholar 

  • Zhang, C., Qi, X., Wang, K., Zhang, M. & Yue, Y. The application of geospatial techniques in monitoring karst vegetation recovery in southwest China. Prog. Phys. Geog. 41(4), 450–477 (2017).

    Google Scholar 

  • Ying, B., Xiao, S., Xiong, K., Cheng, Q. & Luo, J. Comparative studies of the distribution characteristics of rocky desertification and land use/land cover classes in typical areas of Guizhou province, China. Envirov. Earth Sci. 71(2), 631–645 (2013).

    Google Scholar 

  • Luo, X. et al. Analysis on the spatio-temporal evolution process of rocky desertification in Southwest Karst area. Acta Ecol. Sin. 41(2), 680–693 (2021).

    Google Scholar 

  • Chong, G. et al. Characteristics of changes in karst rocky desertification in southtern and western china and driving mechanisms. Chin. Geogr. Sci. 31, 1082–1096 (2021).

    Google Scholar 

  • Guo, B. et al. A novel-optimal monitoring model of rocky desertification based on feature space models with typical surface parameters derived from LANDSAT_8 OLI. Degrad. Dev. 32(17), 5023–5036 (2021).

    Google Scholar 

  • Chen, F. et al. Spatio-temporal evolution and future scenario prediction of karst rocky desertification based on CA–Markov model. Arab. J. Geosci. 14, 1262 (2021).

    Google Scholar 

  • Wu, X., Liu, H., Huang, X. & Zhou, T. Human driving forces: Analysis of rocky desertification in karst region in Guanling County, Guizhou Province. Chin. Geogr. Sci. 21(5), 600–608 (2011).

    Google Scholar 

  • Chen, H. et al. The evolution of rocky desertification and its response to land use changes in Wanshan Karst area, Tongren City, Guizhou Province, China. J. Agr. Resour. Environ. 37(01), 24–35 (2020).

    Google Scholar 

  • Zerrouki, N., Dairi, A., Harrou, F., Zerrouki, Y. & Sun, Y. Efficient land desertification detection using a deep learning-driven generative adversarial network approach: A case study. Concurr. Comp-Pract. E. https://doi.org/10.1002/cpe.6604 (2021).

    Article 

    Google Scholar 

  • Keskin, H., Grunwald, S. & Harris, W. Digital mapping of soil carbon fractions with machine learning. Geoderma 339, 40–58 (2019).

    ADS 
    CAS 

    Google Scholar 

  • Tian, Y. et al. Aboveground mangrove biomass estimation in Beibu Gulf using machine learning and UAV remote sensing. Sci. Total Environ. https://doi.org/10.1016/j.scitotenv.2021.146816 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Xi, H. et al. Spatio-temporal characteristics of rocky desertification in typical Karst areas of Southwest China: A case study of Puding county, Guizhou province. Acta Ecol. Sin. 38(24), 8919–8933 (2018).

    Google Scholar 

  • Deng, Y. et al. Relationship among land surface temperature and LUCC, NDVI in typical karst area. Sci. Rep-UK. 296–306 (2018).

  • Li, S. M., Yu, L. W., Gan, S. & Yang, Y. M. Study on inversion relationship between vegetation lndex and leaf area index of rocky desertification area in southeast Yunnan based on ETM+. J. Kunming Univ. Sci. Technol. (Natl Sci.) 40(06), 31–36 (2015).

    Google Scholar 

  • Yan, X. & Cai, Y. Multi-Scale anthropogenic driving forces of karst rocky desertification in Southwest China. Land Degrad. Dev. 26(2), 193–200 (2013).

    Google Scholar 

  • Meyer, H., Reudenbach, C., Wollauer, S. & Nauss, T. Importance of spatial predictor variable selection in machine learning applications – Moving from data reproduction to spatial prediction. Ecol. Model. https://doi.org/10.1016/j.ecolmodel.2019.108815 (2019).

    Article 

    Google Scholar 

  • Cracknell, M. & Reading, A. Geological mapping using remote sensing data: A comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information. Comput. Geosci-UK 63, 22–33 (2014).

    ADS 

    Google Scholar 

  • Feng, K. et al. Monitoring desertification using machine-learning techniques with multiple indicators derived from MODIS images in Mu Us Sandy Land, China. Remote Sens. 14, 2663. https://doi.org/10.3390/rs14112663 (2022).

    Article 
    ADS 

    Google Scholar 

  • Belgiu, M. & Drăguţ, L. Random Forest in remote sensing: A review of applications and future directions. ISPRS J. Photogramm 114, 24–31 (2016).

    Google Scholar 

  • Chutia, D., Bhattacharyya, D. K., Sarma, K. K., Kalita, R. & Sudhakar, S. Hyperspectral remote sensing classifications: A perspective survey. Trans. GIS https://doi.org/10.1111/tgis.12164 (2015).

    Article 

    Google Scholar 

  • Song, T. Q., Peng, W. X., Du, H., Wang, K. & Zeng, F. Occurrence spatial-temporal dynamics and regulation strategies of karst rocky desertification in southwest China. Acta Ecol. Sin. 34(18), 5328–5341 (2014).

    Google Scholar 

  • Zhu, L.F. Study on the Spatial-Temporal Variation of Vegetation Coverage and Karst Rocky Desertification based on MODIS Data. Ph.D. Dissertation, Southwestern University. Chongqing, China (2018).

  • Yang, Q. et al. Spatio-temporal evolution of rocky desertification and its driving forces in karst areas of Northwestern Guangxi, China. Environ. Earth Sci. 64, 383–393 (2011).

    Google Scholar 

  • Mishra, N. & Chaudhuri, G. Spatio-temporal analysis of trends in seasonal vegetation productivity across Uttarakhand, Indian Himalayas, 2000–2014. Appl. Geogr. 56, 29–41 (2015).

    Google Scholar 

  • Zhang, X., Shang, K., Cen, Y., Shuai, T. & Sun, Y. Estimating ecological indicators of karst rocky desertification by linear spectral unmixing method. Int. J. Appl. Earth. Obs. 31, 86–94 (2014).

    CAS 

    Google Scholar 

  • Reshef, D. et al. Detecting novel associations in large data sets. Science 334(6062), 1518–1524 (2011).

    ADS 
    CAS 
    PubMed 
    PubMed Central 
    MATH 

    Google Scholar 

  • Li, W. et al. Concentration estimation of dissolved oxygen in Pearl River Basin using input variable selection and machine learning techniques. Sci. Total Environ. https://doi.org/10.1016/j.scitotenv.2020.139099 (2021).

    Article 
    PubMed 
    PubMed Central 

    Google Scholar 

  • Abdelhakim, A., El, H., Luis, E., Salah, E. & Abdelghani, C. Retrieving crop albedo based on radar sentinel-1 and random forest. Approach. Remote Sens. 13(16), 3181 (2021).

    ADS 

    Google Scholar 

  • Rodriguez-Galiano, V. F., Ghimire, B., Rogan, J., Chica-Olmo, M. & Rigol-Sanchez, J. P. An assessment of the effectiveness of a random forest classifier for land-cover classification. ISPRS J. Photogramm 67, 93–104 (2012).

    Google Scholar 

  • Dharumarajan, S., Bishop, T., Hegde, R. & Singh, S. Desertification vulnerability index-an effective approach to assess desertification processes: A case study in Anantapur District, Andhra Pradesh, India. Land Degrad. Dev. 29(1), 150–161 (2017).

    Google Scholar 

  • Li, P. et al. Dynamic monitoring of desertification in ningdong based on landsat images and machine learning. Sustainability 14, 7470. https://doi.org/10.3390/su14127470 (2022).

    Article 

    Google Scholar 

  • Pacheco, A. D. P., Junior, J. A. D. S., Ruiz-Armenteros, A. M. & Henriques, R. F. F. Assessment of k-nearest neighbor and random forest classifiers for mapping forest fire areas in Central Portugal using landsat-8, sentinel-2, and terra imagery. Remote Sens. 13, 1345. https://doi.org/10.3390/rs13071345 (2021).

    Article 
    ADS 

    Google Scholar 


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