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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Geography Jurnal Ilmu Lingkungan TELKOMNIKA (Telecommunication Computing Electronics and Control) Geoplanning : Journal of Geomatics and Planning Majalah Geografi Indonesia JTSL (Jurnal Tanah dan Sumberdaya Lahan) Forum Geografi Indonesian Journal of Science and Technology JURNAL ILMIAH GEOMATIKA Jurnal Geografi Jurnal Penginderaan Jauh Indonesia

Projo Danoedoro

Fakultas Geografi Universitas Gadjah Mada, Yogyakarta, Indonesia

Author-ID : 249626

Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Mathematics Social Sciences Other

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Pemetaan Hutan Mangrove di Estuari Sungai Andai, Manokwari Papua Barat Berdasarkan Metode Density Slicing Berbasis Citra Alos Avnir-2 Christian S. Imburi; Projo Danoedoro; Sigit Heru Murti
Majalah Geografi Indonesia Vol 29, No 1 (2015): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

ABSTRAK Secara umum julat nilai spektral objek diperoleh melalui perpustakaan spektral (spectral library) atau melalui pengukuran langsung di lapangan dengan alat ukur spectroradiometer, spectrometer, dan spectrophotometer, atau alat-alat sejenis yang mahal serta jarang, sehingga sulit untuk memperoleh julat nilai spektral objek tertentu. Studi tentang Metode Density Slicing Berbasis Citra ALOS AVNIR-2 Untuk Pemetaan Hutan Mangrove di Estuari Sungai Andai, Manokwari Papua Barat dilakukan dengan tujuan menghasilkan prosedur analisis perolehan julat nilai spektral melalui analis histogram band inframerah dekat ALOS AVNIR-2. Penelitian ini dilakukan melalui dua tahapan metode analisis, yakni: 1) Analisis utama untuk menghasilkan julat nilai spektral, yakni analisis histogram band inframerah dekat ALOS AVNIR-2, dan 2) Analisis tambahan untuk menjelaskan tingkat akurasi julat nilai spektral melalui: (a) survei lapangan yang menghasilkan data untuk proses uji akurasi reklasifikasi metode density slicing, serta (b) melakukan uji akurasi terhadap peta zonasi mangrove berbasis density slicing. Analisis tersebut dijabarkan melalui pendekatan penginderaan jauh multitingkat, dimana citra QuickBird digunakan sebagai referensi untuk masking citra ALOS AVNIR-2, dan juga untuk validasi peta hasil metode density slicing. Hasil dari penelitian ini adalah prosedur analisis perolehan julat nilai spektral dan julat nilai spektral zonasi genus mangrove. Akurasi pemetan hutan mangrove untuk metode density slicingmenghasilkan nilai 40%. Nilai tersebut masih belum memenuhi standar ketelitian yang diharapkan. Namun demikian, penelitian ini secara keseluruhan dapat menghasilkan julat nilai spektral, dan hal ini memberikan implikasi terhadap pengembangan prosedur untuk menghasilkan julat nilai spektral objek. ABSTRACT Generally the range of spectral value objects can be obtained through spectral library or through direct measurement in the field with measuring instrument spectroradiometer, spectrometer and spectrophotometer, or similar tool are expensive and rarely, so difficult to obtain spectral range of the certain objects value. Study about Slicing Density Method is based AVNIR ALOS-2 imagery for mapping of mangrove forest in the river estuary Andai, Manokwari, West Papua with the purpose of generating the acquisition analysis procedures spectral value range through near infrared band histogram analysis of AVNIR ALOS-2. Aim of this study through two stages of analysis methods, namely: 1) The primary analysis to produce a spectral value range, namely histogram analysis near infrared band AVNIR ALOS-2 and 2) Additional analysis to explain the level of accuracy range spectral value through: (a) field survey that produced data to process of classification accuracy test with density slicing method, and (b) to examine the accuracy of zoning map based mangrove density slicing. This analysis describe through a multilevel remote sensing approach, which QuickBird imagery is used as a reference for masking AVNIR ALOS-2, and also to validate of map density slicing method. The results of this research is procedure of acquisition spectral value range and the spectral range of mangrove genus value zoning. Accuration of Mangrove forest mapping with density slicing method produces value of 40%. This value is still not comply expected accuracy standards. Nevertheless, overall this research can produce a range of spectral values, and it has implications for development procedure to product a spectral range of the certain objects value.

Integrasi Transformasi Spektral Citra Landsat Etm+ dan SIG untuk Pemetaan Pola Rotasi Tanam Lahan Sawah Kabupaten dan Kota Semarang serta Daerah Sekitarnya di Jawa Tengah Sri Retno Murdiyati; Projo Danoedoro; Retnadi Heru Jatmiko
Majalah Geografi Indonesia Vol 24, No 2 (2010): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

ABSTRAK Pengurangan daerah beras seiring dengan meningkatnya populasi memberikan dampak pada ketersediaan pangan. Yang sesuai dan optimal manajemen beras yang diperlukan dengan mempertimbangkan sumber daya iklim dan pola tanam yang tepat waktu di lahan pertanian produktif, untuk mendukung kebutuhan dasar makanan untuk masyarakat, serta memberikan dukungan untuk Ketahanan Pangan Nasional. Studi ini dimaksudkan untuk menyelidiki keakuratan penggunaan spektrum nilai proses transformasi dan GIS untuk mengidentifikasi dan inventarisasi rotasi pola tanam di sawah dengan approach.The ekologi metode penelitian terdiri dari interpretasi klasifikasi multi-temporal ETM + Landsat digital dibantu menggunakan algoritma kemungkinan maksimum diawasi, dan dibantu dengan proses transformasi nilai spektral dari Analisis Principal Component (PCA), NDVI dan Tasseled Cap Transformasi (TCT). ETM + Landsat data yang digunakan adalah 5 Desember 2000, 24 April 2001, dan 1 Juli, 2001 di 120/065 path / row. Analisis ini selesai melalui membandingkan hasil dari proses transformasi Principal Component Spectral Analysis (PCA), NDVI dan Tasseled Cap Transformasi (TCT) dan proses transformasi gabungan dari tiga dari mereka, dengan hasil yang diperoleh dari klasifikasi tutupan lahan menggunakan saluran asli. Peran GIS dalam penelitian mengumpulkan data pendukung seperti peta zona agroklimat, peta tanah, peta bentuk lahan, peta sawah irigasi, dan setelah itu dilapisinya semua dari mereka untuk pola tanam peta, dengan mengikuti tanda-tanda, untuk menghasilkan beras tanam peta rotasi pola. Hasil penelitian menunjukkan bahwa secara terpisah menggunakan proses transformasi nilai-nilai spektral multi-temporal yang disediakan akurasi rendah, tetapi dengan visual yang jelas, yaitu Principal Component Analysis, NDVI dan Tasseled Cap Transformasi 96,13%, 68,17%, dan 92,44% . Hasil akurasi dari proses transformasi spektral gabungan memberikan nilai 92,61%. Penggunaan multi-temporal Landsat band asli memberikan nilai akurasi 98,77%. Pola rotasi padi tanam diidentifikasi di daerah penelitian adalah 1x / tahun, 2x / tahun, bidang 3x / tahun beras, dan pertanian lahan kering. Kesimpulan dari penelitian ini adalah penggunaan transformasi spektral bersama-sama tidak memberikan akurasi yang lebih tinggi dibandingkan penggunaan secara individu spektral transformasi baik penggunaan saluran asli di multi-temporal. Penelitian lebih lanjut dengan menggunakan media-resolusi Remote Sensing Gambar beberapa prosedur yang berbeda dalam konteks pemantauan sawah dianggap perlu. ABSTRACT The reduction of rice area along with the increase of population gives an impact on the food availability. The appropriate and optimal management of rice are required by considering the climate resources and timely cropping pattern at the productive agricultural land, to support the basic needs of food for the communities, as well as providing support for the National Food Security. The study intended to investigate the accuracy of the use of the spectral values transformation process and GIS in order to identify and inventory the rotation of cropping pattern in rice field with an ecological approach.The research methods consist of the interpretation of multi-temporal classification of Landsat ETM+digitally assisted using supervised maximum likelihood algorithm, and assisted with the transformation process of the spectral value of a Principal Component Analysis (PCA), NDVI and Tasseled Cap Transformation (TCT). Landsat ETM+ data used are December 5, 2000, April 24, 2001, and July 1, 2001 at the 120/065 path/row. The analysis was finished through comparing the results from the transformation process of Principal Component Spectral Analysis (PCA), NDVI and Tasseled Cap Transformation (TCT) and the combined transformation process from three of them, with the results obtained from the classification of land cover using the original channel. The role of GIS in the research are collecting supporting data like agro-climate zones maps, soil maps, landform maps, maps of irrigated paddy fields, and afterward overlaid all of them to the cropping patterns map, by following the signs, to produce rice cropping rotation pattern maps. Results showed that the separately use of the transformation process of multi-temporal spectral values provided low accuracy, but with an obvious visuals, namely Principal Component Analysis, NDVI and Tasseled Cap Transformation of 96,13%, 68.17%, and 92,44%. The accuracy results from the combined spectral transformation processes give a value of 92,61%. The use of multi-temporal Landsat original band gives the accuracy value of 98.77%. The rice cropping rotation patterns identified in the study area are 1x /year, 2x /year,3x /year rice fields, and upland farming. The conclusion from this research is the use of spectral transformation together does not give a higher accuracy than the use of individually spectral transformation either the use of the original channel in a multi-temporal. The further research using medium-resolution Remote Sensing Image for several different procedures in the context of rice field monitoring is considered necessary.

PENENTUAN TINGKAT KEKERINGAN LAHAN BERBASIS ANALISA CITRA ASTER DAN SISTEM INFORMASI GEOGRAFIS Alfian Pujian Hadi; Projo Danoedoro; Sudaryatno Sudaryatno
Majalah Geografi Indonesia Vol 26, No 1 (2012): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

ABSTRAK Kekeringan lahan yang melanda suatu daerah menimbulkan dampak yang besar terhadap produktivitas lahan pertanian. Terjadinya kekeringan ini disebabkan oleh defisit air akibat kurangnya hujan yang jatuh, laju infiltrasi air yang tinggi serta jenis tanaman yang tidak sesuai dengan ketersediaan air. Untuk meminimalkan dampak yang terjadi akibat kekeringan lahan maka perlu dilakukan antisipasi dengan mengetahui defisit dan surflus air lahan melalui data curah hujan serta kemampuan tanah menahan air (water holding capasity). Untuk keperluan analisis kekeringan lahan dapat menggunakan citra penginderaan jauh dan neraca air lahan sebagai pengetahuan awal guna perencanaan antisipasi kekeringan lahan sehingga kebutuhan air bagi tanaman dapat terpenuhi setiap saat. Penelitian ini dilakukan di sebagian wilayah Kabupaten Gunung Kidul. Tujuan penelitian ini adalah : (1) Mengkaji akurasi berbagai saluran TIR Citra Aster untuk mendapatkan informasi sebaran suhu permukaan, (2) Mengkaji sebaran kekeringan melalui indeks TVDI (Temperature Vegetation Dryness Indeks) yang diekstrak dari suhu permukaan (Land Surface Temperature) dan indeks NDVI. (3) Mengkaji tingkat kekeringan lahan dengan menggunakan metode Thornthwaite-Mather, (4) Mengkaji pola tanam yang sesuai diterapkan di wilayah penelitian. Hasil penelitian menunjukkan bahwa saluran 13 Citra Aster memiliki akurasi paling tinggi jika dibandingkan dengan saluran 10,11,12, serta 14 Citra Aster karena memiliki selisih paling kecil dengan suhu permukaan lapangan. Berdasarkan analisis RMS difference diperoleh nilai 1,140. Luas sebaran kekeringan berdasarkan indeks TVDI pada seluruh penggunaan lahan dengan tingkat kekeringan tinggi, sedang dan rendah masingmasing melanda daerah seluas 2.922,8 Ha (4,6%), 20.286,16 Ha (32,11%) serta 39.962,72 Ha (63,26%). Dari total luas 2.922,8 Ha lahan yang dilanda kekeringan dengan tingkat kekeringan tinggi (kering/kurang air) seluas 2.069,47 Ha merupakan sawah tadah hujan. Analisis hubungan indeks TVDI dengan kadar lengas tanah menunjukkan hubungan yang tidak terlalu kuat sebesar 53,7%. Tingkat kekeringan lahan dengan analisis neraca air Thornthwaite-Mather menunjukkan indeks kekeringan (aridity index) berada dalam tingkat kekeringan sedang dan berat. Kekeringan sedang terjadi pada satuan lahan yang terpengaruh stasiun hujan Giriwungu (Panggang), Kedung Keris, Gedangan serta sebagian Playen. Kekeringan berat terjadi pada satuan lahan yang terpengaruh stasiun hujan Wonosari, Tepus dan sebagian Playen. Pola tanam berdasarkan agroklimat Oldeman dikelompokkan ke dalam pola tanam Padi Gogo (Palawija) -Palawija - Bero, Padi sawah - Palawija - Bero, Palawija – Palawija - Bero. Pola tanam Padi Gogo (Palawija)-Palawija-Bero diterapkan di sawah tadah hujan dan tegalan pada satuan lahan yang terpengaruh stasiun hujan Tepus dan Panggang dengan musim tanam 1 terjadi bulan Oktober–Januari dan musim tanam 2 terjadi pada bulan Februari-Mei, pola tanam Padi Sawah-Palawija-Bero diterapkan di sawah dan sawah tadah hujan pada satuan lahan yang terpengaruh stasiun hujan Wanagama (Playen), Kedung Keris dan Gedangan dengan musim tanam 1 terjadi pada bulan November-Februari dan musim tanam 2 terjadi pada bulan Maret-Juni sedangkan pola tanam Palawija-Palawija-Bero diterapkan di kebun campuran pada satuan lahan yang terpengaruh stasiun hujan Kedung Keris, Panggang, Playen, Gedangan, serta Wonosari untuk sawah tadah hujan dimana musim tanam 1 terjadi pada bulan November-Februari dan musim tanam 2 terjadi pada bulan Maret-Juni.ABSTRACT Dryness of farm knocking over an area to generate big impact to agricultural land productivity. The happening of this dryness because of water deficit as result of lack of falling rain, high water infiltration velocity and crop type which unmatched to water availability. Minimization of Impact to happened as result of dryness of farm hence need to be done anticipation given the deficit and surflus farm water through rainfall data and ability of soil land ground arrest detains water (water holding capasity). For the purpose is required dryness analysis of farm with using remote sensing image and farm water balance as initial knowledge utilized planning of anticipation of dryness of farm so that amount of water required for crop can fufilled every when. This research done in this part of gunung kidul regency, purpose of this research is : (1) Studies accuration various channels TIR image Aster to get information as of land surface temperature (2) Studies of dryness through index TVDI (Temperature Vegetation Dryness Indeks) extract from surface temperature (Land Surface Temperature) and index NDVI. ( 3) Studies level of dryness of farm by using method Thornthwaite-Mather, (4) Studies cropping pattern appropriate is applied in research region. Result of research indicates that channel 13 images Aster had highest accuration if it is compared to channel 10,11,12, and 14 images Aster because having smallest difference with field surface temperature. Based on analysis RMS difference is obtained by value 1,140. Wide as of dryness based on index TVDI at all land use with level of high dryness, knocking over each low and medium area with a width of 2922,8 Ha (4,6%), 20286,16 Ha (32,11%) and 39962,72 Ha (63,26%). From wide total 2922,8 Ha farm knocked over by dryness with level of high dryness (less water) with a width of 2069,47 Ha is wet ricefield dependant to rain. Analysis the relation of index TVDI with soil moisture rate shows rapport that is overweening not equal to 53,7% Level of dryness of farm with water balance analysis Thornthwaite-Mather shows dryness index (aridity index) stays in level of medium dryness and weight. Dryness is happened at land unit affecting station of rain Giriwungu (Panggang), Kedung Keris, Gedangan and some of Playen. Dryness of weight happened at land unit affecting station of rain Wonosari, Tepus and some of Playen. Cropping pattern based on agroklimat Oldeman is grouped into cropping pattern Padi Gogo (Palawija)-Palawija-Bero, Padi Sawah-Palawija-Bero, Palawija-Palawija-Bero. Cropping Pattern (Palawija)-PalawijaBero is applied in wet ricefield dependant to rain and non irigated dry field at land unit affecting station of rain Tepus and Panggang with planting season 1 happened OktoberJanuary and planting season 2 happened in Februari-May, cropping pattern Padi SawahPalawija-Bero is applied in rice field and wet ricefield dependant to rain at land unit affecting station of rain Wanagama ( Playen), Kedung Keris and Gedangan with planting season 1 happened in November-February and planting season 2 happened in Maret-Juni while cropping pattern Palawija-Palawija-Bero is applied in blend garden at land unit affecting station of rain Kedung Keris, Gedangan, Playen, and Wonosari for wet ricefield dependant to rain where planting season 1 happened in November-February and planting season 2 happened in March-June.

Kajian Perubahan Penggunaan Lahan Berbasis Citra Satelit Penginderaan Jauh Resolusi Menengah dengan Metode Multi Layer Perceptrondan Markov Chain Diana Wisnu Wardani; Projo Danoedoro; Bowo Susilo
Majalah Geografi Indonesia Vol 30, No 1 (2016): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Kajian Klasifikasi Berbasis Obyek untuk Pemetaan Bangunan yang Berisiko Gempabumi di Bantul, Daerah Istimewa Yogyakarta Lewi Ristiyono; Projo Danoedoro; Muh Aris Marfai
Majalah Geografi Indonesia Vol 30, No 1 (2016): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Pemanfaatan Citra Landsat 8 Multitemporal dan Model Forest Canopy Density (FCD) untuk Analisis Perubahan Kerapatan Kanopi Hutan di Kawasan Fakultas Geografi Universitas Gadjah Mada Gunung Kelud, Jawa Timur Shafira Himayah; Hartono Hartono; Projo danoedoro
Majalah Geografi Indonesia Vol 31, No 1 (2017): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Penginderaan jauh memiliki keunggulan dalam hal resolusi temporal yang dapat dimanfaatkan untuk meneliti perubahan suatu obyek dalam waktu yang berbeda. Hutan Gunung Kelud mengalami perubahan setelah erupsi tahun 2014. Perubahan tersebut dapat dianalisis dengan memanfaatkan teknologi penginderaan jauh melalui citra multitemporal. Penelitian ini bertujuan untuk mengkaji kemampuan citra Landsat 8 multitemporal dan Forest Canopy Density (FCD) untuk perubahan kerapatan kanopi di Hutan Lindung Gunung Kelud sebelum dan sesudah erupsi tahun 2014.Citra penginderaan jauh yang digunakan adalah citra Landsat 8 perekaman 26 Juni 2013 dan 4 September 2015. Metode yang digunakan adalah pemodelan FCD yang menghasilkan kerapatan kanopi per piksel. Hasil pemodelan FCD kemudian digunakan untuk menganalisis perubahan kerapatan kanopi setelah erupsi. Berdasarkan penelitan ini didapatkan hasil bahwa citra Landsat 8 dapat dipergunakan untuk mengetahui kerapatan kanopi Hutan Lindung Gunung Kelud sebelum dan setelah erupsi dengan masing-masing akurasi sebesar 83,73% dan 81,14%. Terjadi perubahan luas kerapatan kanopi setelah erupsi, dimana terdapat 8833,95 Ha hutan yang mengalami penurunan kerapatan kanopi, sedangkan hutan dengan kerapatan kanopi yang tetap adalah seluas 2149,38 Ha, dan hutan yang mengalami peningkatan kerapatan kanopi adalah seluas 1643,31 Ha. Remote sensing has an advantage in terms of temporal resolution that can be exploited to examine the changes of an object in different times. Gunung Kelud Forest is changing after the eruption in 2014. The changes can be analyzed by utilizing remote sensing technology through multitemporal imagery. This study aims to examine the capabilities of Landsat 8 multitemporal and Forest Canopy Density (FCD) images for changes in canopy density in Kelud Protection Forest before and after the eruption in 2014. Remote sensing imagery used is Landsat 8 image recording June 26, 2013, and September 4, 2015, The method used is FCD modeling that produces a density of the canopy per pixel. FCD modeling results are then used to analyze changes in density of the canopy after the eruption. Based on this research, it can be concluded that Landsat 8 image can be used to determine the density of canopy of Kelud Protection Forest before and after eruption with 83.73% and 81.14% accuracy respectively. There was a change in the area of the canopy density after the eruption, where there was 8833.95 ha of forest that experienced a decrease in canopy density, whereas forests with fixed canopy densities were 2149.38 Ha, and forests with an increase in canopy density were 1643.31 Ha.

Digital Interpretability of Annual Tile-based Mosaic of Landsat-8 OLI for Time-series Land Cover Analysis in the Central Part of Sumatra Ratih Dewanti Dimyati; Projo Danoedoro; Hartono Hartono; Kustiyo Kustiyo; Muhammad Dimyati
Indonesian Journal of Geography Vol 50, No 2 (2018): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

This paper presents an interoperability of annual tile-based mosaic (MTB) images, as well as a verification of the validity of the model for the time series land cover analysis purposes. The primary data used are MTB image of Landsat-8 of the central part of Sumatra, acquired from January 2015 to June 2017. The method used for the interoperability validation is the digital analysis of three-years time series land cover. The classification was performed with four band spectral groups. Training samples are taken from the image of 2016. The results are then reclassified to improve the overall accuracy score based on Jefferies Matusita (JM) distance. The interoperability can be measured by the average of overall accuracy (AOA) score, namely Good (scores > 80%), Fair (70.0% -79.9%), and Bad (< 70%). The results show that the use of the groups Bands 6-5-4-3-2 performs the consistent accuracy level of Good with an AOA score of 86% for six classes object. Whereas the use of the groups Bands 6-5-4-3-2, Bands 6-5-4, and Bands 6-5 shows the consistent accuracy level of Good up to four classes object with an AOA score of 89%, 82%, and 81%, respectively. It means that the annual mosaic image of MTB model is accepted for the image interoperability with an AOA score of > 80% for six and four classes object. Thus the most efficient for interoperability is the use of Bands 6-5 to analyze four class object of land cover.

REMOTE SENSING AND GIS APPROACHES TO A QUALITATIVE ASSESSMENT OF SOIL EROSION RISK IN SERANG WATERSHED, KULONPROGO, INDONESIA Nursida Arif; Projo Danoedoro; Hartono Hartono
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

This research aims to determine the risk of soil erosion qualitatively by integrating remote sensing with the geographic information system. Factors that contributed to the occurrence of erosion in the area of study were analyzed using the method of the variation of combined input data of the factors controlling erosion (soil, climate, topography, vegetation, and humans). The input data were quantitative data changed into qualitative data that were obtained from field data and extracted from remote sensing imagery, i.e. SPOT 5. A number of parameters were calculated using the RUSLE model equation. The model was validated by observing the qualitative erosion indicators in the field (pedestal, tree root exposure, armor layers, rill erosion, and gully erosion) by observing slope steepness in each sample area. The area of study was Serang watershed located in Kulon Progo Regency, Yogyakarta. It is one of the critically potential watersheds viewed from the landform and land use. The results of various combinations generated the highest of accuracy by 90.57 % with extremely erosion dominating the area of study. The factors with the highest contribution to erosion in Serang Watershed were slope length and steepness (LS) and erodibility (K).

LAND-SOIL CHARACTERISTICS FOR MAPPING PADDY CROPPING INTENSITY USING DECISION TREE ANALYSIS FROM SINGLE DATE ALI IMAGERY IN MAGELANG, CENTRAL JAVA, INDONESIA Sanjiwana Arjasakusuma; Projo Danoedoro; Sigit Herumurti; Yanuar Adji Nugroho; Prama Ardha Aryaguna
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.4.2.187-200

Paddy field area and its cropping intensity are main information used to measure the crop production and the response of crop to changing climate conditions. Remote sensing technology has been used widely to map cropping pattern of paddy mostly using spectral analysis of multi temporal multispectral data of remote sensing. However, the cropping intensity of paddy was also influenced by the characteristics of planted land to paddy field which defines the level of land suitability for planting paddy. This research aimed to map paddy rotation by using single date ALI imagery by assessing the land and soil characteristics based on the land suitability parameters for planting paddy. Soil characteristics such as texture, acidity level, P205 (phosphor) and C-organic level collected from field work and terrain characteristics such as landform, surface water, and drainage density from visual delineation of SRTM 90 m was collected as inputs for the decision tree analysis to map the repetition of paddy planting throughout the year. The results showed the overall accuracy of 85% ± 8% (95 % level of confidence) for the final paddy rotation map where 2-times paddy per year was mostly found in the study area.

Modeling of Percentage of Canopy in Merawu Catchment Derived From Various Vegetation Indices of Remotely Sensed Data Bambang Sulistyo; Totok Gunawan; H Hartono; Projo Danoedoro
Forum Geografi Vol 27, No 1 (2013): July 2013
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v27i1.5075

The research was aimed at studying Percentage of Canopy mapping derived from various vegetation indices of remotely-sensed data int Merawu Catchment. Methodology applied was by analyzing remote sensing data of Landsat 7 ETM+ image to obtain various vegetation indices for correlation analysis with Percentage of Canopy measured directly on the field (PTactual) at 48 locations. 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 analysis resulted models (PTmodel) for Percentage of Canopy mapping. The vegetation indices selected are those having high coefficient of correlation (=0.80) to PTactual. Percentage of Canopy maps were validated using 39 locations on the field to know their accuracies. Percentage of Canopy map (PTmodel) is said to be accurate when its coefficient of correlation value to PTactual is high (=0.80). The research result in Merawu Catchment showed that from 11 vegetation indices under studied, there were 6 vegetation indices resulted high accuracy of Percentage of Canopy maps (as shown in the value of coefficient of correlation as 0.80), i.e. TVI, VIF, NDVI, TSAVI, RVI dan SAVI, while the rest, namely ARVI, PVI, DVI, EVI and MSAVI, have r values of 0.80.

Co-Authors Alfian Pujian Hadi Alfian Pujian Hadi Ananda, Irvan Nurrahman Bambang Sulistyo Bowo Susilo Christian S. Imburi Danang Sri Hadmoko Diana Wisnu Wardani Erisa Ayu Waspadi Putri Fela Pritian Cera Ferad Puturuhu H Hartono H Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hasibuan, Algi Variski Iswari Nur Hidayati Junun Sartohadi Karen Slamet Hardjo Kustiyo Kustiyo Lewi Ristiyono Marfai, Muh Aris Moh Yasir Muhammad Dimyati Mulabbi, Andrew Nama Penulis Ni Kadek Oki Febrianti Nur Mohammad Farda Nursida Arif Prama Ardha Aryaguna Pramaditya Wicaksono Prima Widayani Ratih Dewanti Dimyati Ratih Dewanti Dimyati Ratih Dewanti Dimyati Retnadi Heru Jatmiko Sanjiwana Arjasakusuma Shafira Himayah Sigit Heru Murti Sri Retno Murdiyati Sudaryatno Sudaryatno Sudaryatno Sudaryatno Suharyadi, R Totok Gunawan Totok Gunawan Umarhadi, Deha Agus Yanuar Adji Nugroho Zuharnen Zuharnen Zulfajri, Zulfajri

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