Page 80 - รายงานการประยุกต์ใช้ฐานข้อมูลการสำรวจระยะไกลจากซอฟต์แวร์รหัสเปิดและคลาวด์คอมพิวติงเพื่องานพัฒนาที่ดิน Utilization of Remote Sensing Database derived from Open-source software and Cloud computing platform for Land Development
P. 80

ห้องสมุดกรมพัฒนาที่ดิน


                                                                                                           70







                       Aggarwa, S. n.d. Principles of Remote Sensing. Satellite Remote Sensing and GIS Applications in
                               Agricultural Meteorology. pp. 23-38. Available Source
                               http://www.wamis.org/agm/pubs/agm8/Paper-2.pdf, February 2017, 10.

                       Alzate, B. E. (2011). Imágenes espaciales de la superficie terrestre. Procesamiento digital, análisis
                               y extracción de información temática. Notas de clase. Bogotá, Colombia: Universidad

                               Nacional de Colombia. DOI: https://doi.org/10.18273/revsal.v49n2-2017006

                       Amondi, G. 2019. Earth Observation System. https://medium.com/@ochieng.grace/earth-
                               observation-system-a41c545f0f87

                       Chang, J. and D. Clay. 2016. Matching Remote Sensing to Problems. Chapter 22: Matching
                               Remote Sensing to Problems. In Clay, D.E., C.G. Carlson, S.A. Clay, and E.
                               Byamukama (eds). iGrow Corn: Best Management Practices. South Dakota State

                               University. Available Source:
                               https://www.researchgate.net/publication/310751847_Matching_Remote_Sensing_to_
                               Problems, September 2022, 09.

                       Clarke, T. n.d. Ground-based Remote Sensing. USDA ARS Pacific West Area Remote
                               Sensing Workshop. Available Source:

                               https://www.ars.usda.gov/ARSUserFiles/20000000/Clarke,%20 Tom_Ground-
                               based%20Remote%20Sensing.pdf, February 2023, 09.

                       Department of Geography. n.d.  Characteristics of Remotely Sensed Imagery.
                               Department of Geography, Faculty of Arts, University of British Columbia. Available
                               Source https://ibis.geog.ubc.ca/courses /geog373/lectures/Handouts/lecture07.pdf,

                               February 2017, 10.

                       Dozie, J. and T. H. Painter 2004. Multispectral and Hyperspectral Remote Sensing of Alpine
                               Snow Properties.  Annu. Rev. Earth Planet. Sci. 2004. 32:4 Available Source:
                               https://doi.org/10.1146/ annurev.earth.32.101802.120404

                       Edmund Optics Inc. 2023. Hyperspectral and Multispectral Imaging. Available Source:

                               https://www.edmundoptics.com/knowledge-center/application-
                               notes/imaging/hyperspectral-and-multispectral-imaging/, February 2023, 09.

                       Satellite Imaging Corporation. 2022. Sentinel-2A Satellite Sensor (10m). Available
                               Source: https://www.satimagingcorp.com/satellite-sensors/other-satellite-
                               sensors/sentinel-2a/, February 2022, 09.
   75   76   77   78   79   80   81   82   83   84   85