Interpretation of Scattering Characteristics of Radar L and C-Channel Data
DOI:
https://doi.org/10.5564/jimdt.v4i1.2665Keywords:
Alos Palsar-2, Sentinel-1B, radar wavelength, signature, analysisAbstract
To define spectral knowledge of the features presented in the multisource remotely sensed datasets, in most cases, signature-based analyses are applied. The features are considered to be distinguishable if they are separable in a multidimensional feature space. The aim of this research is to conduct signature-based backscatter analyses using L and С-band Alos Palsar-2 and Sentinel-1B radar images and investigate the separability of the available land cover classes. As a test site, Ulz gol basin situated in the northern part of Dornot aimag has been selected, and 8 different land cover classes were chosen. The result of the backscatter analyses revealed that the selected land cover types in the study area could be somehow separable in different radar wavelengths.
Радарын L, С-Сувгийн Мэдээний Онцлог болон Сарнилын Тайлал
Хураангуй: Зайнаас тандсан олон эх сурвалжийн дүрс мэдээнд агуулагдаж байгаа янз бүрийн спектрийн мэдлэгийг тодорхойлохын тулд, ихэнх тохиолдолд биет, юмсын сигнатурт дүн шин- жилгээ хийх бөгөөд олон хэмжээст огторгуйд сигнатурууд саланги байх тохиолдолд дүрс мэдээн дээрх биес өөр хоорондоо илүү сайн ялгагддаг. Энэхүү судалгааны ажлын зорилго нь, радарын долгионы L ба С-сувгийн мужид хос туйлшралаар хүлээн авсан Alos Palsar-2 болон Sentinel-1B дагуулын мэдээг тус тус ашиглан, газрын бүрхэвчийн сигнатур дээр суурилсан сарнилын ме- ханизмын тайлал хийж, улмаар уг ангиуд өөр хоорондоо сарнилаараа хэрхэн ялгагдаж байгааг харуулахад оршино. Судалгааны загвар талбай болгон Дорнод аймгийн хойд хэсэгт орших Улз голын сав нутгийг сонгон авч, нийт 8 ангийг тодорхойлсон бөгөөд сарнилын тайллын дүнгээс харахад, ангиуд өөр хоорондоо тодорхой хэмжээнд ялгагдаж байлаа. Дүн шинжилгээнд, ENVI 5.2 программ хангамжийг ашигласан болно.
Түлхүүр үгс: Alos Palsar-2, Sentinel-1B, радарын долгион, сигнатур, дүн шинжилгээ
Downloads
170
References
Shahrokhnia M. S., and Ahmadi S. H., “Remotely sensed spatial and temporal variations of vegetation indices subjected to rainfall amount and distribution properties,” Spatial Modeling in GIS and R for Earth and Environmental Sciences, Elsevier, pp. 21-53, 2019, doi: https://doi.org/10.1016/B978-0-12-815226-3.00002-8
Odontuya G., and Amarsaikhan D., “Comparison of spectral signatures in hyperspectral and multispectral data,” Advances in Engineering Research, Proceedings of the ESTIC 2021, Atlantis Press-Springer Nature, pp. 116-120, 2021.
Gomez C., and Lagacherie P., “Mapping of primary soil properties using optical visible and near infrared (vis-nir) remote sensing, Editor(s): Nicolas Baghdadi, Mehrez Zribi,” Land Surface Remote Sensing in Agriculture and Forest, Elsevier, pp. 1-35, 2016, doi: https://doi.org/10.1016/B978-1-78548-103-1.50001-7.
Mukherjee S., and Laskar S., “Analysis and Characterization of Spectral Signature of Soil Nitrogen Content Based on VNIR Optical Sensing for Application in Smart Farming,”In: Bera, R., Sarkar, S., Chakraborty, S. (eds) Advances in Communication, Devices and Networking. Lecture Notes in Electrical Engineering, Springer, Singapore, Vol. 462, 2018, doi: https://doi.org/10.1007/978-981-10-7901-6_73.
Yang C. S., Park S. M., and Oh, Y., “An analysis of the radar backscatter fromoil-covered sea surfaces using moment method and Monte-Carlo simulation: preliminary results,” Acta Oceanol. Sin, 32, pp. 59-67, 2013, doi: https://doi.org/10.1007/s13131-013-0267-7.
Д. Амарсайхан, М. Ганзориг, “Радарын тандан судлал, радарын мэдээнд дүн шинжилгээ хийх зарчмууд,” Улаанбаатар хот, х. 24, 2013.
Satake M., Uratsuka S., Umehara T., Maeno H., Nadai A., Kobayashi T., Matsuoka T., Manabe T., and Masuko H., “Flight experiments of airborne high-resolution multi-parameter imaging radar, Pi-SAR,” Journal of the Communications Research Laboratory, Vol. 49, no. 2, pp. 127-141, 2002.
Park S. E., Ferro-Famil L., Allain S., and Pottier E., “Surface roughness and microwave surface scattering of high-resolution imaging radar,” IEEE Geoscience and Remote Sensing Letters, Vol. 12, no. 4, pp. 756-760, 2015, doi: https://doi.org/10.1109/LGRS.2014.2361144.
Ferretti A., Monti-guarnieri A., Prati C., and Rocca F., “InSAR principles: guidelines for SAR interferometry processing and interpretation,” ESA Publ, 1–40. 2007, doi: https://doi.org/10.1787/9789264101630-5-en.
Cartus O., Santoro M., and Kellndorfer J., “Mapping forest aboveground biomass in the northern united states with ALOS PALSAR dual-polarization L-band,” Remote Sensing of Environment, 124, pp. 466-478, 2012, doi: https://doi.org/10.1016/j.rse.2012.05.029.
Sentinel-1, “User guide,” ESA. https://sentinel.esa.int/, 2016.
Д. Энхтайван, Б. Оюунгэрэл, Э. Авирмэд, Т. Рэнчинмядаг, М. Нямхүү, О. Мөнхдулам, Т.Даваагатан, Б. Баянжаргал, Ц. Батням, “Монгол орны зүүн бүсийн ландшафтын бүтэц, өөрчлөлт, төлөвлөлт, зохистой бүсчлэл,” Эрдэм шинжилгээний тайлан, Улаанбаатар хот, 2016.
Ш. Цэгмид, “Монгол орны физик газарзүй. Ред.,” Улаанбаатар хот, 1969.
Abdikan S., Sekertekin A., Ustunern M., Sanli F. B., and Nasirzadehdizaji R., “Backscatter Analysis Using Multi-Temporal Sentinel-1 SAR Data for Crop Growth of Maize in Konya Basin, Turkey,” 2018, doi: https://doi.org/10.5194/isprs-archives-XLII-3-9-2018.
Amarsaikhan D., Blotevogel H. H., Van Genderen J. L., and Ganzorig M., “Knowledge acquisition on urban land cover features using TerraSAR and Quickbird images,” CD-ROM Proceedings of the Asian Conference on RS, Beijing, China, 2009.
“ERDAS,” New ERDAS Field Guide, ERDAS, Inc. Atlanta, Georgia, pp. 776, 2010.
“ENVI,” User’s Guide, Research Systems, USA, 2009.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
The authors grant the Journal of Institute of Mathemathics and Digital Technology a license to publish the article and identify itself as the original publisher.
Articles in the Journal of Institute of Mathemathics and Digital Technology are Open Access articles published under a Creative Commons Attribution-NonCommercial 4.0 International License - CC BY NC.
This license permits NonComericial use, distribution and reproduction in any medium, provided the original work is properly cited.
