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All Journal Indonesian Journal of Geography Journal of Degraded and Mining Lands Management Forum Geografi Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Suharyadi, R
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Earth & Planetary Sciences

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A COMPARATIVE STUDY OF VARIOUS INDICES FOR EXTRACTION URBAN IMPERVIOUS SURFACE OF LANDSAT 8 OLI Hidayati, Iswari Nur; Suharyadi, R
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.9179

Abstract

Impervious surface is one of the major land cover types of urban and suburban environment. Conversion of rural landscapes and vegetation area to urban and suburban land use is directly related to the increase of the impervious surface area. The impervious surface expansion is straight-lined with decreasing green spaces in urban areas. Impervious surface is one of indicator for detecting urban heat islands. This study compares various indices for mapping impervious surfaces using Landsat 8 OLI imagery by optimizing the different spectral characteristics of Landsat 8 OLI imagery. The research objectives are (1) to apply various indices for impervious surface mapping and (2) identifies impervious surfaces in urban areas based on multiple indices and provide recommendations and find the best index for mapping impervious surface in urban areas. In addition to utilizing the index, land use supervised classification method, maximum likelihood classification used for extracting built-up, and non-built-up areas. Accuracy assessment of this research used field data collection as primary data for calculating kappa coefficient, producer accuracy, and user accuracy. The study can also be extended to find the land surface temperature and correlate the impervious surface extraction data with urban heat islands.
EKSTRAKSI DIGITAL SURFACE MODEL (DSM) DARI DATA UNMANNED AERIAL VEHICLE (UAV) BERBASIS POINT CLOUD Laksana, Indra; Suharyadi, R; Hadi, M Pramono
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 3, No. 2
Publisher : UI Scholars Hub

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Abstract

Data acquisition using unmanned aircraft is increasingly being done. This study models elevation data from field measurements using unmanned aircraft. The purpose of this study: (1) to test the ability of unmanned aircraft to acquire elevation data, and (2) to compare elevation data if added point cloud data and bathymetry measurement data. The processing method using point cloud data is done by first matching key points. Matching key points links all aerial photography results to forming a single unit area that has been photographed. Next, a tie point is carried out in the area formed from matching key points. Tie points function as data correction when unmanned aircraft take data. Corrected aerial photos are then processed to obtain point cloud data. Point cloud is useful as orthophoto compiler data and Digital Surface Model (DSM) data. Point cloud data processing to produce DSM is done using Pix4D and Agisoft photoscan software. The results obtained showed that there was an increase in DSM capabilities when point cloud data was added to the tie point data and bathymetry measurement data. So, it can be concluded that data acquisition using unmanned aircraft is able to produce reliable data. Besides being reliable, data acquisition with unmanned aircraft is cheaper compared to data acquisition with aerial photography.
Carbon Stock Estimation From Vegetation Biomass Using Spot-7 Imagery Rahmatika, Iklila; Hidayati, Iswari Nur; Suharyadi, R; Nurjani, Emilya
Indonesian Journal of Geography Vol 55, No 3 (2023): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.78690

Abstract

Vegetation absorbs carbon dioxide (CO2 ) emissions during photosynthesis. Covering more areas with trees will increase the CO2 absorption capacity more substantially than other vegetation like bushes, grasses, or rice fields. Trees convert the CO2 captured during photosynthesis into organic carbon to be stored in biomass. Woody trees account for approximately 60% of the total aboveground tree biomass, and trunks, where food reserves produced in photosynthesis are stored, have relatively large biomass compared to other parts of the tree. The biomass of a vegetation stand determines the optimization of air pollutant absorption in urban areas. Yogyakarta City is the center for tourism, education, and cultural activities in Indonesia, which is vulnerable to land-use conversion, a factor of the shrinking green space. This study aimed to estimate carbon stock from vegetation biomass in Yogyakarta City using the remote sensing product SPOT-7 imagery. To calculate the vegetation biomass, the diameter at breast height (DBH) of stands was measured in the field. Then, statistical analyses were performed to determine the correlation and regression between the actual or observed biomass and the Normalized Difference Vegetation Index (NDVI) value derived from the SPOT-7 image. The regression model used was y = 1.4277x – 0.0849. The total biomass produced in Yogyakarta City was estimated at 1,399,487.1 tonnes, which contained 643,764.1 tonnes of carbon stock.
Determination of the spatial variability of soil nitrogen content based on reliefs in an apple orchard, Batu, Indonesia Wicaksono, Kurniawan Sigit; Suratman, S; Suharyadi, R; Murti, Sigit Heru
Journal of Degraded and Mining Lands Management Vol. 6 No. 3 (2019)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2019.063.1713

Abstract

A better understanding of the spatial variability of soil nitrogen content is required to achieve the best management in precision agriculture. The purpose of this research was to determine the spatial variability of soil nitrogen content based on reliefs in an apple orchard. The research was conducted from March to August 2018 in a 1210 hectare of apple orchard, Batu, East Java Province, Indonesia. Soil samples were taken using the stratified random sampling method. Data were processed by the GLM Univariate 5% method with SPSS 16.0. The results of the statistical analysis show that the Sig value and coefficient of determination were 0.000 and 0.846, respectively. This condition means that soil nitrogen content was significantly different in various reliefs. The apple orchard was divided into 10 (ten) zones with different soil nitrogen content in various relief. It is crucial as a basis for implementing precision agriculture in apple orchards, meaning that the determination of fertilizer dosage is adjusted to the soil nitrogen content in the various zones. This study concluded that relief significantly affects the spatial variability of soil nitrogen content.
Co-Authors Emilya Nurjani Indra Laksana Iswari Nur Hidayati Kurniawan Sigit Wicaksono, Kurniawan Sigit M Pramono Hadi, M Pramono Rahmatika, Iklila Sigit Heru Murti Suratman, S