Existing drought-impacted data are generally rooted from individual reports, which under-represent spatial information. To improve the report, some meteorological satellites have been employed. Nonetheless, due to lacking of spatial resolution, the scale of the data is often excessively coarse. With the availability of long-term Landsat data, estimated extent of drought has been studied. One of the latest methods for this purpose is Vegetation Supply Water Index (VSWI). VSWI is defined as a ratio between vegetation index (in this case NDVI) and land surface temperature (LST, presented in Kelvin). Both data can be derived from remote sensing data containing multispectral reflectance and thermal data, which are available in Landsat data after calibration procedure. In this research, Landsat 7 sensor was applied considering its temporal span. Landsat data were atmospherically corrected to avoid misinterpretation of the results. We found that VSWI can accommodate various state of drought in agricultural fields. Severely affected fields are represented in dark tone, illustrating the absence of vegetation cover when surface temperature rises. Nonetheless, shortcomings of the technique are visually observable. Based on two kinds of rice field (irrigated and rainfed) coupled with two states of field condition (wet and dry), we conclude that dried and waterlogged irrigated rice fields are inseparable due similar value of NDVI. In contrast, vegetated rice field has fairly high VSWI value. The results indicate that further analysis incorporating water index can improve discrimination process.
The Indonesian government-particularly National Land Agency---currently release program named Agrarian Reform Plus. The agrarian reform execution considered some factors, including land quality, land availability, market access, and others. One of agrarian plus programs is land redistribution. To speed up land redistribution program, spatial information technology can be utilized due to time efficiency in handling coverage areas. This research aims to test important variables to identify available land for allocation supporting agrarian reform program. The research was conducted in Riau and West Java province. Spatial database was first developed then followed by designing land availability from land status, physical suitability, occupation status, and land cover. By employing multi-criteria evaluation in GIS then available land was determined. The research showed application of different combination of variables generated different land acreages. Acreages of available land on West Java and Riau showed different minimum requirement for standard of living. The difference on standard of living, price structures and land fertility implied to difference on minimum acreage to support farmers' living. The farmers of West Java required less land to support their standard of living than farmers in Riau. The available land of Riau distributed in all kabupatens/kota, while in West Java there were some kabupatens lack of available land for agrarian reform, for instances in Bekasi, Cirebon, Indramayu and Depok. ABSTRAKPemerintah khususnya Badan Pertanahan Nasional meluncurkan program pemerintah yang dinamai dengan Reforma Agraria Plus. Program reforma agraria tersebut mempertimbangkan berbagai kriteria lahan antara lain kualitas dan ketersediaan lahan, variabel akses pasar untuk pemanfaatan lahan yang optimum. Salah satu bentuk reforma agraria plus adalah program redistribusi lahan. Percepatan redistribusi lahan dapat dilakukan jika proses identifikasi lahan tersedia memanfaatkan teknologi informasi spasial untuk efisiensi waktu dan cakupan area. Penelitian ini bertujuan untuk menguji pilihan variabel penting untuk mengidentifikasi lahan tersedia untuk alokasi program reforma agraria. Penelitian dilakukan di Provinsi Riau dan Jawa Barat. Identifikasi lahan tersedia diawali dengan penyusunan database. Selanjutnya berdasarkan kriteria status kawasan, kesesuaian fisik, status penguasaan, dan penutupan lahan, luas lahan ditapis dengan metode evaluasi kriteria jamak dan dua alternatif. Alternatif-1 adalah kriteria ideal yaitu tingkat kesesuaian minimum S3, bukan lahan HGU, penggunaan untuk pertanian dan bukan kawasan lindung serta dekat jalan; dan alternatif-2 sama dengan alternatif-1 kecuali penguasaan HGU dalam waktu dekat (< 5 tahun) habis. Luas lahan yang diperoleh didistribusikan ke masyarakat petani/nelayan berlahan sempit. Hasil penelitian menunjukan penerapan kombinasi variabel terpilih yang berbeda dalam proses filter menghasilkan luasan berbeda. Hasil identifikasi luas lahan tersedia untuk alokasi program reforma agrari...
Pepper crop has been developed and established in the West Lampung Regency. In line with contemporary agriculture’s with a tendency for standardized management supported by modern communication technology, the current agriculture practice should adopt the situation. In preparation, we need to develop a center of pepper development area through spatial planning. Several factors in developing the main region are actual dominant pepper crops, land suitability, current spatial planning, socio-economy of farmers, communication infrastructure, others that are evaluated using spatial multi-criteria approach. The result showed the potential area as a central area of pepper development, with some prerequisites of development of better agriculture practice for precision farming, and the improvement of farmer using a current mobile phone to access good agricultural practices and the potential market.
Capacity development in biomass monitoring is a key action in the implementation of Clean Development Mechanism of the Kyoto Protocol in developing country like Indonesia. The objection of this research is to explore the processing of spaceborne InSAR for the construction of Digital Surface Model (DSM). The research successfully completed the process by using two InSAR pairs : ERS-1 & ERS-2 tandem pass (completed) and ENVISAT repeat pass (coherence only). DSM product, after field validation, will be applied for SAR calibration in relation to biomass and carbon stock estimation. Keywords : CDM, DSM, Kyoto Protocol, spaceborne InSAR
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