Extraction of Soil and Water Conservation Measures Information from Remote Sensing Images Based on Image Segmentation Algorithm Protection Research

[1] Gachene, C. K., Nyawade, S. O., & Karanja, N. N. (2020). Soil and water conservation: An overview. Zero Hunger, 810-823. GacheneC. K. NyawadeS. O. & Karanja N. N. (2020). Soil and water conservation: An overview. Zero Hunger, 810-823.Search in Google Scholar

[2] Di Prima, S., Castellini, M., Pirastru, M., & Keesstra, S. (2018). Soil water conservation: dynamics and impact. Water, 10(7), 952. Di PrimaS. CastelliniM. PirastruM. & Keesstra S. (2018). Soil water conservation: dynamics and impact. Water, 10(7), 952.Search in Google Scholar

[3] Ghassemian, H. (2016). A review of remote sensing image fusion methods. Information Fusion, 32, 75-89. Ghassemian H. (2016). A review of remote sensing image fusion methods. Information Fusion, 32, 75-89Search in Google Scholar

[4] Singh, R. (2023). Remote Sensing and GIS Applications in Soil Conservation. In Soil and Water Conservation Structures Design (pp. 367-413). Singapore: Springer Nature Singapore. Singh R. (2023). Remote Sensing and GIS Applications in Soil Conservation. In Soil and Water Conservation Structures Design (pp. 367-413). Singapore: Springer Nature Singapore.Search in Google Scholar

[5] Almagro, A., Thomé, T. C., Colman, C. B., Pereira, R. B., Junior, J. M., Rodrigues, D. B. B., & Oliveira, P. T. S. (2019). Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions. International Soil and Water Conservation Research, 7(4), 325-334. AlmagroA. ThoméT. C. ColmanC. B. PereiraR. B. JuniorJ. M. RodriguesD. B. B. & Oliveira P. T. S. (2019). Improving cover and management factor (C-factor) estimation using remote sensing approaches for tropical regions. International Soil and Water Conservation Research, 7(4), 325-334.Search in Google Scholar

[6] Yousuf, A., & Singh, M. J. (2016). Runoff and soil loss estimation using hydrological models, remote sensing and GIS in Shivalik foothills: A review. Journal of Soil and Water Conservation, 15(3), 205-210 YousufA. & Singh M. J. (2016). Runoff and soil loss estimation using hydrological models, remote sensing and GIS in Shivalik foothills: A review. Journal of Soil and Water Conservation, 15(3), 205-210Search in Google Scholar

[7] Zhu, L., Suomalainen, J., Liu, J., Hyyppä, J., Kaartinen, H., & Haggren, H. (2018). A review: Remote sensing sensors. Multi-purposeful application of geospatial data, 19. ZhuL. SuomalainenJ. LiuJ. HyyppäJ. KaartinenH. & Haggren H. (2018). A review: Remote sensing sensors. Multi-purposeful application of geospatial data, 19.Search in Google Scholar

[8] Wan, W., Hong, Y., Chen, X., Peng, X., Yang, T., Bai, W., ... & Zhao, L. (2016). Overview and outlook of GNSS remote sensing technology and applications. Journal of Remote Sensing, 20(5), 858-874. WanW. HongY. ChenX. PengX. YangT. BaiW. & Zhao L. (2016). Overview and outlook of GNSS remote sensing technology and applications. Journal of Remote Sensing, 20(5), 858-874.Search in Google Scholar

[9] Ahmad, R. (2024). Smart remote sensing network for disaster management: an overview. Telecommunication Systems, 1-25. Ahmad R. (2024). Smart remote sensing network for disaster management: an overview. Telecommunication Systems, 1-25.Search in Google Scholar

[10] Roy, P. S., Behera, M. D., & Srivastav, S. K. (2017). Satellite remote sensing: sensors, applications and techniques. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 87, 465-472. RoyP. S. BeheraM. D. & Srivastav S. K. (2017). Satellite remote sensing: sensors, applications and techniques. Proceedings of the National Academy of Sciences, India Section A: Physical Sciences, 87, 465-472Search in Google Scholar

[11] Mao, L., Zheng, Z., Meng, X., Zhou, Y., Zhao, P., Yang, Z., & Long, Y. (2022). Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images. Landscape and Urban Planning, 222, 104384. MaoL. ZhengZ. MengX. ZhouY. ZhaoP. YangZ. & Long Y. (2022). Large-scale automatic identification of urban vacant land using semantic segmentation of high-resolution remote sensing images. Landscape and Urban Planning, 222, 104384.Search in Google Scholar

[12] Visockiene, J. S., Tumeliene, E., & Maliene, V. (2019). Analysis and identification of abandoned agricultural land using remote sensing methodology. Land use policy, 82, 709-715. VisockieneJ. S. TumelieneE. & Maliene V. (2019). Analysis and identification of abandoned agricultural land using remote sensing methodology. Land use policy, 82, 709-715Search in Google Scholar

[13] Bhosle, K., & Musande, V. (2019). Evaluation of deep learning CNN model for land use land cover classification and crop identification using hyperspectral remote sensing images. Journal of the Indian Society of Remote Sensing, 47(11), 1949-1958. BhosleK. & Musande V. (2019). Evaluation of deep learning CNN model for land use land cover classification and crop identification using hyperspectral remote sensing images. Journal of the Indian Society of Remote Sensing, 47(11), 1949-1958.Search in Google Scholar

[14] Singh, M. C., Satpute, S., & Prasad, V. (2023). Remote sensing and GIS-based watershed prioritization for land and water conservation planning and management. Water Science & Technology, 88(1), 233-265. SinghM. C. SatputeS. & Prasad V. (2023). Remote sensing and GIS-based watershed prioritization for land and water conservation planning and management. Water Science & Technology, 88(1), 233-265.Search in Google Scholar

[15] Ahirwar, R., Malik, M. S., & Shukla, J. P. (2019). Prioritization of sub-watersheds for soil and water conservation in parts of Narmada River through morphometric analysis using remote sensing and GIS. Journal of the Geological Society of India, 94(5), 515-524. AhirwarR. MalikM. S. & Shukla J. P. (2019). Prioritization of sub-watersheds for soil and water conservation in parts of Narmada River through morphometric analysis using remote sensing and GIS. Journal of the Geological Society of India, 94(5), 515-524.Search in Google Scholar

[16] Koradia, A., & Patel, J. N. (2024). Erosion Risk Assessment for Prioritization of Soil and Water Conservation Measures in the Semi-Arid Region: A Remote Sensing and GIS-Based Approach. Journal of the Indian Society of Remote Sensing, 1-13. KoradiaA. & Patel J. N. (2024). Erosion Risk Assessment for Prioritization of Soil and Water Conservation Measures in the Semi-Arid Region: A Remote Sensing and GIS-Based Approach. Journal of the Indian Society of Remote Sensing, 1-13.Search in Google Scholar

[17] Ahmed, Z., Shew, A., Nalley, L., Popp, M., Green, V. S., & Brye, K. (2024). An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture. International Soil and Water Conservation Research, 12(1), 77-95. AhmedZ. ShewA. NalleyL. PoppM. GreenV. S. & Brye K. (2024). An examination of thematic research, development, and trends in remote sensing applied to conservation agriculture. International Soil and Water Conservation Research, 12(1), 77-95.Search in Google Scholar

[18] Zhang, J., Yi, Z., Zhou, C., Chang, L., Chen, F., Zhao, Z., & Gao, G. (2019, November). Application of UAV and ArcGIS in Soil and Water Conservation Monitoring of slag area—Taking a slag area of hydroelectric power station in Dadu River as an example. In IOP Conference Series: Earth and Environmental Science (Vol. 376, No. 1, p. 012045). IOP Publishing. ZhangJ. YiZ. ZhouC. ChangL. ChenF. ZhaoZ. & Gao G. (2019, November). Application of UAV and ArcGIS in Soil and Water Conservation Monitoring of slag area—Taking a slag area of hydroelectric power station in Dadu River as an example. In IOP Conference Series: Earth and Environmental Science (Vol. 376, No. 1, p. 012045). IOP Publishing.Search in Google Scholar

[19] Gebremichael, A. (2022). Application of GIScience for Soil and Water Conservation: A Review. GIScience for the Sustainable Management of Water Resources, 317-329. Gebremichael A. (2022). Application of GIScience for Soil and Water Conservation: A Review. GIScience for the Sustainable Management of Water Resources, 317-329.Search in Google Scholar

[20] Javed, A., Tanzeel, K., & Aleem, M. (2016). Estimation of sediment yield of Govindsagar catchment, Lalitpur district,(UP), India, using remote sensing and GIS techniques. Journal of Geographic Information System, 8(5), 595-607. JavedA. TanzeelK. & Aleem M. (2016). Estimation of sediment yield of Govindsagar catchment, Lalitpur district,(UP), India, using remote sensing and GIS techniques. Journal of Geographic Information System, 8(5), 595-607.Search in Google Scholar

[21] Ahmed, F., & Rao, K. S. (2015). Prioritization of sub-watersheds based on morphometric analysis using remote sensing and geographic information system techniques. International Journal of Remote Sensing and GIS, 4(2), 51-65. AhmedF. & Rao K. S. (2015). Prioritization of sub-watersheds based on morphometric analysis using remote sensing and geographic information system techniques. International Journal of Remote Sensing and GIS, 4(2), 51-65.Search in Google Scholar

[22] Xitao, H., Siyu, C., Yu, Z., Han, Z., Xiaofeng, Y., Pengtao, J., & Liyuan, X. (2021, April). Study on Dynamic Monitoring Technology of Soil and Water Conservation in Construction Projects using Multi-source Remote Sensing Information. In Journal of Physics: Conference Series (Vol. 1848, No. 1, p. 012055). IOP Publishing. XitaoH. SiyuC. YuZ. HanZ. XiaofengY. PengtaoJ. & LiyuanX. (2021, April). Study on Dynamic Monitoring Technology of Soil and Water Conservation in Construction Projects using Multi-source Remote Sensing Information. In Journal of Physics: Conference Series (Vol. 1848, No. 1, p. 012055). IOP Publishing.Search in Google Scholar

[23] Kim, Y. I., Park, W. H., Shin, Y., Park, J. W., Engel, B., Yun, Y. J., & Jang, W. S. (2024). Applications of Machine Learning and Remote Sensing in Soil and Water Conservation. Hydrology, 11(11), 183. KimY. I. ParkW. H. ShinY. ParkJ. W. EngelB. YunY. J. & Jang W. S. (2024). Applications of Machine Learning and Remote Sensing in Soil and Water Conservation. Hydrology, 11(11), 183.Search in Google Scholar

[24] Qiu, T., Lu, F. C., Zhang, J. J., & Wang, R. (2021). Monitoring of soil erosion caused by construction projects using remote sensing images. In IOP Conference Series: Earth and Environmental Science (Vol. 626, No. 1, p. 012023). IOP Publishing. QiuT. LuF. C. ZhangJ. J. & Wang R. (2021). Monitoring of soil erosion caused by construction projects using remote sensing images. In IOP Conference Series: Earth and Environmental Science (Vol. 626, No. 1, p. 012023). IOP Publishing.Search in Google Scholar

[25] Lei, L., Wang, L., Wei, X., Liang, J., Guo, G., Shi, Y., & Chen, B. (2024, April). Online Monitoring Technology of Soil and Water Conservation Project Based on Satellite Remote Sensing Telemetry and Data Transmission. In Proceedings of the 2024 International Academic Conference on Edge Computing, Parallel and Distributed Computing (pp. 282-286). LeiL. WangL. WeiX. LiangJ. GuoG. ShiY. & ChenB. (2024, April). Online Monitoring Technology of Soil and Water Conservation Project Based on Satellite Remote Sensing Telemetry and Data Transmission. In Proceedings of the 2024 International Academic Conference on Edge Computing, Parallel and Distributed Computing (pp. 282-286).Search in Google Scholar

[26] Lei, L., Wang, L., Chen, W., Liu, Z., Guo, A., & Wang, C. (2023, June). Research and application of environmental conservation monitoring based on multi-scale remote sensing image technology. In International Conference on Mathematics, Modeling, and Computer Science (MMCS2022) (Vol. 12625, pp. 299-304). SPIE. LeiL. WangL. ChenW. LiuZ. GuoA. & WangC. (2023, June). Research and application of environmental conservation monitoring based on multi-scale remote sensing image technology. In International Conference on Mathematics, Modeling, and Computer Science (MMCS2022) (Vol. 12625, pp. 299-304). SPIE.Search in Google Scholar

[27] Zhang, Y. (2022, February). Application and Research of UAV Remote Sensing Technology in Soil and Water Conservation. In 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) (pp. 718-721). IEEE. ZhangY. (2022, February). Application and Research of UAV Remote Sensing Technology in Soil and Water Conservation. In 2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) (pp. 718-721). IEEE.Search in Google Scholar

[28] Kang, X., & Zheng, Z. (2024). Application Research of UAV-based Remote Sensing Technology in Land Surveying. International Journal of New Developments in Engineering and Society, 8(2). KangX. & Zheng Z. (2024). Application Research of UAV-based Remote Sensing Technology in Land Surveying. International Journal of New Developments in Engineering and Society, 8(2).Search in Google Scholar