SIR-A views our environment An Experiment in the Batu Angkal Area, West Kalimantan, Indonesia

https://doi.org/10.22146/ijg.2170

Sutanto Sutanto(1*), Zuharnen Zuharnen(2)

(1) 
(2) 
(*) Corresponding Author

Abstract


Cloud cover is a serious problem for remote sensing in Indonesia. Some areas, around 10% to 20% of the land territory, are almost never cloud-free. The only system of remote sensing capable of overcoming cloud cover problem is that applying microwave energy. This article deals with a radar system being operated by the Columbia shuttle imaging radar A in 1981 in the Batu Angkal area, West Kalimantan, Indonesia. The choice of the study area is due to the availability of collateral material such as topographic map. land use map, and false color photographs.
The study is aimed at learning the interpretability of SIR-A image of 1:500,000 which is blown up to 1:250,000 for the study of the.environment of this area. The method used in the identification of environment is applying the physical characteristics of objects (tone, texture, shape, size, direction in relation to the illumination, surface roughness, and dielectric constant) to trace it.
The discernable elements of the environment of the study area are listed sequentially based on the ease of identqicaiton: rivers and dissected hills, unpaind forest and lowland forest, wetfields, and road and settlement.
Factors affecting the ease of identification are. mainly tonal contrast, shape, size, surface roughness, direction in relation to the illumination, and dielectric constant. Due to the future availability of SIR-B image of Kalimantan, further study is recommended.

Full Text:

PDF



DOI: https://doi.org/10.22146/ijg.2170

Article Metrics

Abstract views : 796 | views : 589

Refbacks

  • There are currently no refbacks.




Copyright (c) 1970 Indonesian Journal of Geography

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Accredited Journal, Based on Decree of the Minister of Research, Technology and Higher Education, Republic of Indonesia Number 225/E/KPT/2022, Vol 54 No 1 the Year 2022 - Vol 58 No 2 the Year 2026 (accreditation certificate download)

ISSN 2354-9114 (online), ISSN 0024-9521 (print)

Web
Analytics IJG STATISTIC