I Wayan Sandi Adnyana

Enhanced Built-Up and Bareness Index (EBBI) for Mapping Built-Up and Bare Land in an Urban Area

Remotely sensed imagery is a type of data that is compatible with the monitoring and mapping of changes in built-up and bare land within urban areas as the impacts of population growth and urbanisation increase. The application of currently available remote sensing indices, however, has some limitations with respect to distinguishing built-up and bare land in urban areas. In this study, a new index for transforming remote sensing data for mapping built-up and bare land areas is proposed. The Enhanced Built-Up and Bareness Index (EBBI) is able to map built-up and bare land areas using a single calculation. The EBBI is the first built-up and bare land index that applies near infrared (NIR), short wave infrared (SWIR), and thermal infrared (TIR) channels simultaneously. This new index was applied to distinguish built-up and bare land areas in Denpasar (Bali, Indonesia) and had a high accuracy level when compared to existing indices. The EBBI was more effective at discriminating built-up and bare land areas and at increasing the accuracy of the built-up density percentage than five other indices.

Medium Spatial Resolution Satellite Imagery to Estimate Gross Primary Production in an Urban Area

Remote sensing data with medium spatial resolution can provide useful information about Gross Primary Production (GPP), especially on the scale of urban areas. Most models of ecosystem carbon exchange that are based on remote sensing use some form of the light use efficiency (LUE) model. The aim of this work is to analyze the distribution of annual GPP in the urban area of Denpasar, Bali. Additional analysis using two types of satellite data (ALOS/AVNIR-2 and Aster) addresses the impact of spatial resolution on the detection of various ecosystem processes in Denpasar. Annual GPP estimated using ALOS/AVNIR-2 varied from 0.13 gC m−2 yr−1 to 2,586.18 gC m−2 yr−1. Meanwhile, the Aster estimate varied from 0.14 gC m−2 yr−1 to 2,595.26 gC m−2 yr−1. GPP as measured by ALOS/AVNIR-2 was lower than that from Aster because ALOS/AVNIR-2 has medium spatial resolution and a smaller spectral range than Aster. Variations in land use may influence the measured value of GPP via differences in vegetation type, distribution, and photosynthetic pathway type. The medium spatial resolution of the remote sensing data is crucial for discriminating different land cover types in heterogeneous urban areas. Given the heterogeneity of land cover over Denpasar, ALOS/AVNIR-2 detects a smaller maximum value of GPP than Aster, but the annual mean GPP from ALOS/AVNIR-2 is higher than that from Aster. Based on comparisons with previous work, we find that ALOS/AVNIR-2 and Aster satellite data provided more accurate estimates of maximum GPP in Denpasar and in the tropical Kalimantan-Indonesia and Amazon forest than estimates derived from the MODIS GPP product (MOD17).

EVALUATION OF LAND USE WITH REGIONAL SPATIAL PLAN (RTRW) USING SATELLITE DATA AND GIS IN BATUR UNESCO GLOBAL GEOPARK

Development in Batur UNESCO Global Geopark which has an area of 19,422.39 ha has increased significantly in recent years. The existence of land constraints and to determine the suitability of land use, it is necessary to evaluate land use withregional spatial plan (RTRW).Landsat 8 satellite remote sensing data on 27 September 2017is used to create land use maps. Land use maps obtained through the process of image classification using supervised classification method and verified by ground check. From this technique result 11classes of land use. Furthermore, to evaluate of land use suitability wasconducted by comparing land usewith regional spatial plan (RTRW). In this process, there is an overlay between the land use maps with regional spatial plan (RTRW) map usinggeographic information system (GIS). The results of evaluation land use in Batur UNESCO Global Geoparkwith regional spatial plan (RTRW) overall has suitable area 10,863.14 ha (55.93%), not suitable area 8,275.58 ha (42.61%) and not detected/cloud interference 283.67 ha (1.46%).

PREDIKSI EROSI, KLASIFIKASI KEMAMPUAN LAHAN DAN ARAHAN PENGGUNAAN LAHAN DI KECAMATAN BATURITI KABUPATEN TABANAN PROVINSI BALI

Land resource damage caused by the land conversion and land use without regard to principles of conservation of soil and water. The damage resulted in the erosion is very high. Changes in land use without regard to principles of conservation of soil and water is currently happening in Baturiti District. Given this research can determine the level of erosion, soil and water conservation planning, land capability classification and proposed land use in Baturiti District. Erosion prediction using USLE (Universal Soil Loss Equation) to estimate the rate of erosion and also to get an idea the determination of soil and water conservation measures appropriate to the region. Determination of the land capability classification method Arsyad (1989) is by classifying land capability to classify land capability class based on the value of the limiting factor of land that is adjusted with land capability classification criteria. Determining of the proposed land use using the scoring method by combining the slope factor of the field, the soil sensitivity of the against erosion and the intensity of daily rainfall. Soil sampling is done by taking a total of 19 soil samples from a unit of land. The prediction results on each unit of land erosion in the area showed the level of erosion is very light covering an area of 11,70 ha, mild erosion area of 5.221,56 ha, erosion was an area of 88,10 ha, severe erosion area of 616.20 ha and very severe erosion area of 2.195,39 ha. Soil and water conservation measures required on land units with erosion prediction value exceeds the value erosion that can be tolerated so that the value could be below the value erosion erosion can be tolerated. Capability classification of the land in the study area consists of land capability class II with an area of 1489,39 ha, class III area of 827,39 ha, class IV with an area of 830.15 ha, class VI area of 1.373,79 ha, class VII covering 1.453,92 ha, class VIII covering an area of 2.176,31 ha. Tutorial use of land for the forest department is directed to the protected forest area covering an area of 2.458,00 ha. Tutorial use of land outside the forest area to protected area 1079.81 ha (13,27%), a buffer zone covering an area of 1.662,31 ha, annual crop cultivation area covering an area of 844.86 ha and seasonal crops cultivation area covering an area of 2.087,97 ha.