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Kajian Degradasi Lahan Sebagai Dasar Pengendalian Banjir di DAS Juwana Arina Miardini; Totok Gunawan; Sigit Heru Murti
Majalah Geografi Indonesia Vol 30, No 2 (2016): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2932.508 KB) | DOI: 10.22146/mgi.15633

Abstract

Estimasi Debit Limpasan Menggunakan Metode Natural Resources Conservation Soil (NRCS) untuk Optimalisasi Tutupan Lahan di DAS Serang Daerah Istimewa Yogyakarta Iwuk Sri Lestari; Totok Gunawan; Slamet Suprayogi
Majalah Geografi Indonesia Vol 30, No 2 (2016): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5093.99 KB) | DOI: 10.22146/mgi.15641

Abstract

KAJIAN ETIKA LINGKUNGAN KEPESISIRAN TUBAN BERDASARKAN NILAI WILAYAH KEPESISIRAN Dini Atikawati; Totok Gunawan; Sunarto Sunarto
ECOTROPHIC : Jurnal Ilmu Lingkungan (Journal of Environmental Science) Vol 13 No 1 (2019)
Publisher : Master Program of Environmental Science, Postgraduate Program of Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (710.127 KB) | DOI: 10.24843/EJES.2019.v13.i01.p12

Abstract

Tuban coastal area is very rich in natural resources and environmental services. Along the coastal area there are many infrastructures and activity centers. Various forms of existing activities and uses have negative impact, so Tuban coastal area is vulnerable to environmental damage. Prevention efforts that can be done are through the study of environmental ethics. This research aims to study the value of Tuban coastal area, assess the environmental ethics of community in Tuban coastal area, and formulate the coastal environmental ethics of Tuban based on coastal area values. The data were collected from observation, field portraits, and interviews. Then the data were analysed by scoring and descriptive. The results showed that the highest coastal area values in Karangagung, Panyuran, Sukolilo and Kutorejo is economic value. The highest environmental ethics values is in Kutorejo, while the lowest is in Karangagung. Coastal environmental ethics of Tuban are formulated based on eleven coastal area values ??that contain of behaviors that should be carried out by coastal communities so that the sustainability of Tuban coastal area can be maintained. Keywords: environmental ethics; coastal area values; management, attitudes; coastal area
PEMETAAN FAKTOR C YANG DITURUNKAN DARI BERBAGAI INDEKS VEGETASI DATA PENGINDERAAN JAUH SEBAGAI MASUKAN PEMODELAN EROSI DI DAS MERAWU (C Factor Mapping Derived from Various Vegetation Indeces of Remotely Sensed Data for Erosion Modeling at Merawu Catchment Bambang Sulistyo; Totok Gunawan; Hartono Hartono; Danoedoro Danoedoro
Jurnal Manusia dan Lingkungan Vol 18, No 1 (2011): Maret
Publisher : Pusat Studi Lingkungan Hidup Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jml.18437

Abstract

ABSTRAKPenelitian ini bertujuan untuk mengkaji berbagai indeks vegetasi yang diturunkan dari data penginderaan jauh dalam pemetaan faktor C sebagai masukan dalam pemodelan erosi USLE (Universal Soil Loss Equation). Metode yang digunakan dalam penelitian ini adalah dengan menganalisis data penginderaan jauh Landsat 7 ETM + sehingga menghasilkan berbagai indeks vegetasi yang kemudian dilakukan analisis korelasi dengan Faktor C yang diukur di lapangan pada 45 lokasi. Dari analisis ini diperoleh suatu model untuk pemetaan faktor C (C model ) dari berbagai indeks vegetasi. Peta faktor C yang diperoleh kemudian dilakukan validasi pada 48 lokasi sehingga akan diketahui keakuratan hasil pemodelan. Dalam penelitian ini dikaji 11 (sebelas) indeks vegetasi yang diturunkan dari data penginderaan jauh, yaitu ARVI, MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, RVI, DVI, dan PVI. Hasil penelitian menunjukkan bahwa dari 11 indeks vegetasi yang dikaji terdapat 8 indeks vegetasi yang menghasilkan peta faktor C dengan ketelitian yang tinggi, yaitu MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, dan RVI. Indeks vegetasi yang menggunakan rumus yang lebih kompleks menghasilkan koefisien korelasi yang lebih tinggi dibanding dengan indeks vegetasi yang menggunakan rumus yang sederhana. Indeks vegetasi yang mempertimbangkan latar belakang tanah (MSAVI dan TSAVI) mempunyai koefisien korelasi lebih tinggi dibanding dengan koefisien korelasi yang tidak mempertimbangkan latar belakang tanah.ABSTRACTThe research was aim at studying C factor mapping derived from various vegetation indices of remotely-sensed data as input for USLE (Universal Soil Loss Equation) erosion modeling at Merawu Catchment. Methodology applied was by analyzing remote sensing data of Landsat 7 ETM+ to obtain various vegetation indices for correlation analysis with C Factor measured directly from 45 locations on the field. The analysis resulted models for C factor mapping from various vegetation indices (Cmodel). These C factor maps were validated using 48 locations on the field to know their accuracies. These research used 11 (eleven) vegetation indices of remotely-sensed data, namely ARVI, MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI, RVI, DVI and PVI. The research result showed that from 11 vegetation indices there were 8 vegetation indices resulted high accuracy of C factor maps, i.e. MSAVI, TVI, VIF, NDVI, TSAVI, SAVI, EVI and RVI. Vegetation indices using more complicated formulae resulted higher correlation of coefficient compared to those vegetation indices using simpler formulae. Vegetation indices that account for soil background (MSAVI and TSAVI) resulted higher correlation of coefficient compared to those vegetation indices without considering soil background