Page 81 - รายงานการประยุกต์ใช้ฐานข้อมูลการสำรวจระยะไกลจากซอฟต์แวร์รหัสเปิดและคลาวด์คอมพิวติงเพื่องานพัฒนาที่ดิน Utilization of Remote Sensing Database derived from Open-source software and Cloud computing platform for Land Development
P. 81

ห้องสมุดกรมพัฒนาที่ดิน


                                                                                                           71







                       Gashu, M. W. 2022. Integration of Remote sensing and Google Earth Engine for land
                               use/ land cover change analysis in small agricultural watershed (A case of
                               Brante watershed, Ethiopia). Available Source: https://doi.org/10.21203/rs.3.rs-
                               2014415/v1

                       GIF. 2008. Landsat Spectral Band Information. RS/GIS Quick Start Guides. Collaborative

                               training materials available from the Biodiversity Informatics & Geospatial
                               Innovation Facilities. Available Source:
                               http://gif.berkeley.edu/documents/Landsat%20Band%20Information.pdf, February 2017, 23.

                       GISGeography. 2022. 100 Earth Shattering Remote Sensing Applications & Uses. Available
                               Source: https://gisgeography.com/ remote-sensing-applications/, December 2022, 23.

                       GISRSStudy. 2023. Components of Remote Sensing. Available Source:

                               https://gisrsstudy.com, February 2023, 09.

                       Gulácsi, A. and F. Kovács. 2020. Sentinel-1-Imagery-Based High-Resolution Water
                               Cover Detection on Wetlands, Aided by Google Earth Engine. Remote
                               Sensing. 2020; 12(10):1614. https://www.mdpi.com/2072-4292/12/10/1614,
                               February 2023, 12.


                       Gxokwe, S., T. Dube, and D. Mazvimavi. 2020. Multispectral Remote Sensing of
                               Wetlands in Semi-Arid and Arid Areas: A Review on Applications,
                               Challenges and Possible Future Research Directions. Remote Sens. 2020, 12,
                               4190; doi:10.3390/rs12244190 Available Source:
                               www.mdpi.com/journal/remotesensing, February 2023, 09


                       Hamidisepehr, A., M. P. Sama, J. S. Dvorak, O. O. Wendroth, and M. D. Montross. 2020.
                               Classifying Reflectance Targets under Ambient Light Conditions Using
                               Passive Spectral Measurements. Sensors 2020, 20, 5375;
                               doi:10.3390/s20185375, Available Source: https://www.mdpi.com/1424-
                               8220/20/18/5375, February 2023, 12.


                       Hatari Lab. 2018.  Land cover spectral signatures determination with QGIS 3 and Semi-
                               Automatic Classification Plugin (SCP 6) – Tutorial. Available Source:
                               https://hatarilabs.com/ih-en/land-cover-spectral-signatures-determination-with-
                               qgis-3-and-semi-automatic-classification-plugin-scp-6-tutorial, February 2017, 10.
   76   77   78   79   80   81   82   83   84   85   86