South Sumatra Province experiences forest and land fires every year. Peatland and human activity have caused this region to be more vulnerable to fire. In this study, we used annual mapping to describe the history of forest and land fires in Ogan Komering Ilir (OKI) District of South Sumatra to analyze fire trends during the 2015-2019 period. Hotspot data were obtained from Terra/Aqua MODIS satellite imagery at all confidence levels. Burned areas were identified using the Normalized Burn Ratio (NBR) Index, with data sources from Landsat 8 satellite imagery obtained from the USGS (United States Geological Survey). The highest number of hotspots were detected in 2015 (33,748), with 72% was located on peatland. Historical analysis of hotspot numbers, shows that the majority of burning occurs in September and October. This indicates that prevention activities must be carried out more intensively before these months. Linear regression between annual hotspot numbers and rainfall was not significant. Hotspots indicative of forest and land fire in OKI District were more influenced by human activities. The largest burned area (993,999 ha) occurred in 2015. The 2015 El Niño event triggered drought and worsened forest and land fires in Indonesia. Although no El- Niño conditions occurred in 2016-2018, fires continued to occur in OKI District, showing their independence from extreme drought. The fires occurring on peatlands burned a large area during 2015-2019 indicating that forest and land fires management must become a top priority in OKI District

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Increasing of economic development is generally followed by the change of landuse from agriculture to other function. If it occurs in large frequency and amount, it will threaten national food security. Therefore, it is necessary to monitor the agricultural land, especially paddy fields regarding to changes in landuse and global climate. Utilization and development of satellite technology is necessary to provide more accurate and independent database for agricultural land monitoring, especially paddy fields. This study aims to develop a utilization model for LAPAN-IPB satellite (LISAT) and other several satellites data that have been used for paddy field monitoring. This research is conducted through 2 stages: 1) Characterization LISAT satellite data to know spectral variation of paddy field, and 2) Development method of LISAT data fusion with other satellites for paddy field mapping. Based on the research results, the characteristics Red and NIR band in LISAT data imagery have a good correlation with Red and NIR band in LANDSAT 8 OLI data imagery, especially to detect paddy field in the vegetative phase, compared to other bands. Observation and measurement of spectral values using spectroradiometer need to be conducted periodically (starting from first planting season) to know the dynamics of the change related to the growth phase of paddy in paddy field. Pre-processing of image data needs to be conducted to obtain better LISAT data characterization results. Furthermore, it is necessary to develop appropriate algorithms or methods for geometric correction as well as atmospheric correction of LISAT data.

Flores Hawk-Eagle (FHE, Nisaetus floris) is one of the endemic and keystone species that was rarely studied among other eagles. The study on the FHE is currently experiencing limited information for estimating their distribution area. Therefore, the FHE habitat distribution is required as the essential information for developing the strategies and conservation action. The objectives of this study were to identify the spatial habitat distribution and analyze the characteristics of the habitat. Minimum convex polygon (MCP) and kernel-density estimation (KDE) 95% was combined with the land cover map for delineating the patch habitat of FHE. Slope, elevation, and land cover were used as environmental variables. Principal Component Analysis (PCA) combine with GIS were used for characterizing the landscape habitat. The results showed that there were eight habitat patches with a total area of 1.132 km2. Six principal components were retained from PCA analysis which explained 71.96% of data variance. Habitat characteristics of FHE describe its requirement for nesting and hunting activities for principal components 1 to 4, while for flight activity related to principal components 5 and 6. Forests and savannahs become the main habitat preference for both nesting and hunting activities. Results of this study will be supported as baseline information for developing conservation strategies and action for FHE.

Oriental honey buzzards (OHBs, Pernis ptilorhynchus) are one of migratory raptor from Japan to Indonesia which is widely recognized as indicator species reflecting the conditions of their habitat. Since 2003, OHBs have been satellite-tracked in their wintering grounds in Indonesia. Less information available on wintering areas in the west Java, which hampers the OHB conservation efforts. This paper proposes a new approach for predicting the probability models of the wintering habitat distribution of OHBs with the presence data derived from satellite tracking using logistic regression analysis coupled with RAMAS GIS. This spatial model was locally constructed from the data concerning Talaga Bodas and its surrounding areas and extrapolated for the entire West Java region. The best predicted probability model successfully characterized the distribution of the OHB wintering habitat using slope (25–40%), elevation (0–300 m and >1,000 m), and land cover (forest, paddy field, and water body). The extrapolation model generated potential areas of the wintering habitat distribution covering an area of 3013.13 km2 (8.11% of West Java). These areas were predominantly located outside the protected areas (94.04%). The modeling approach proposed herein may be used to study other migratory species that are tracked using satellite or other navigation technologies.