The Estimation of Iron Oxide Content in Soil based on Landsat 8 OLI TIRS Imagery in Wetland Areas

Abstract

Wetland areas are volatile and have high iron content. In this study, through a remote sensing approach, especially using Landsat Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) imagery, we discussed the method to estimate the presence of iron oxide in the wetlands of South Kalimantan in 2018, 2019, and 2020. Interpretation of the Landsat OLI TIRS was employed in April 2018, August 2018, February 2019, August 2019, March 2020, and August 2020. The band ratio method was used to determine the distribution of samples in this study. The results of the iron oxide index from the image were performed regression and correlation analysis with field measurement and laboratory test results to validate the oxide index values. The results showed that the iron oxide index value in the dry season was higher than in the rainy season. Iron oxide index value in open land was higher than in vegetation cover. The wetland was in dry condition during the dry season, making it easier to detect iron oxide values. Vegetation cover could reduce the iron oxide index value on the soil surface so that the iron oxide value was more easily identified in open land. The results of linear regression testing for the wet season sample obtained a coefficient of determination R² = 0.413, while the results of linear regression testing for the dry season sample obtained a coefficient of determination R² = 0.667. Thus, the Landsat image has strong enough to estimate the iron oxide index in the wetland area of Kalimantan.

The value of local wisdom for peatland fire risk reduction in the wetland area of South Kalimantan

“…This research was conducted in the Banjarbaru area. The Banjarbaru area was chosen as the research area because fires often occur in this region [13,[15][16][17][18]. In addition, the existence of Syamsudin Noor International Airport is a top priority in handling land fires in the South Kalimantan region of Indonesia.…”

Community and government preparedness to reduce the risk of land fires on peatlands

“…The Banjarbaru area was chosen as the research site because it is the majority of peatland fires [6,25]. The Banjarbaru area is prone to fires, as there were 18 hotspots in 2019 (Figure 1).…”

“…In South Kalimantan, fires always occur during the dry season. [25,26]. Therefore, cooperation between the government and the community in increasing preparedness is essential to reduce the risk of peatland fires, especially in the Banjarbaru area.…”

Akdeniz bölgesi’ndeki orman yangınlarının uzaktan algılama ve coğrafi bilgi sistemleri kullanılarak değerlendirilmesi: Mersin ili Silifke ilçesi örneği

“…Yangın öncesi ve sonrasındaki uydu görüntüleri analize tabi tutulmuştur. Tonbul et al (2016), Arisanty et al (2019)'ün de çalışmalarında tercih ettiği üzere NDVI ve NBR indeksleri kullanılmıştır. Benzer sonuçları veren bu indekslerle analizler gerçekleştirilmiştir.…”