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All Journal JTSL (Jurnal Tanah dan Sumberdaya Lahan) Journal of Degraded and Mining Lands Management
S Sudarto
Brawijaya University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Environmental Science

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Estimation of soil erosion for a sustainable land use planning: RUSLE model validation by remote sensing data utilization in the Kalikonto watershed C Andriyanto; S Sudarto; D Suprayogo
Journal of Degraded and Mining Lands Management Vol 3, No 1 (2015)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1808.618 KB) | DOI: 10.15243/jdmlm.2015.031.459

Abstract

Technology of Geographic Information Systems (GIS) and Remote Sensing (RS) are increasingly used for planning and natural resources management. GIS and RS is based on pixels is used as a tool of spatial modeling for predicting the erosion. One of the methods developed for predicting the erosion is a Revised Universal Soil Loss Equation (RUSLE). RUSLE is the method used for predicting the erosion associated with runoff gained from five parameters, namely: rain erosivity (R), soil erodibility (K), length of slopes (L), slope (S), and land management (CP). The main constraint encountered in the process of operating the GIS is the calculation of the slope length factor (L).This study was designed to create a plan of sustainable land use and low erosion through the RULSE erosion modeling by utilizing the remote sensing data. With this approach, this study was  divided into three activities, namely (1) the preparation and analysis of spatial data for the determination of the parameters and estimating the erosion by using RUSLE models, (2) the validation and calibration of the model of RUSLE by measuring soil erosion at the scale of plots on the field, and  (3) Creating a plan of sustainable land use and low erosion with RUSLE. The validation erosion shows the value of R2 = 0.56 and r = 0.74. Results of this study showed that the RUSLE model could be used in the Kalikonto watershed. The erosions at the value of the actual estimation, spatial Plan (RTRW) and land capability class in the Kalikonto watershed were  72t / ha / year, 62 t / ha / year and 58 t / ha / year, respectively
Land-use changes and slope positions impact on the degradation of soil functions in nutrient stock within the Kalikungkuk micro watershed, East Java, Indonesia Anita Dwy Fitria; S Sudarto; Syahrul Kurniawan
Journal of Degraded and Mining Lands Management Vol 8, No 2 (2021)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2021.082.2689

Abstract

Degradation of soil functions in storing and cycling nutrients may be related to topography and land-use change. The research aimed to analyze the impact of land-use changes and slope positions on soil function in nutrient stock within Kalikungkuk micro watershed of East Java, Indonesia. Four different land-uses such as vegetable crops, agroforestry, shrub and forest were selected with three slope positions (e.g. ridge, slope, and valley), and three replications of each. Soil samples were collected at 0-10, 10-30, 30-50, and 50-100 cm depth of soil. Variables measured included soil properties (e.g. bulk density, soil texture, pH, CEC, soil nutrients). Slope positions impact on differences in soil physical (i.e. soil bulk density, soil texture) and chemical (i.e. total N, exchangeable K) properties. In addition, forest conversion to other land-uses (i.e. agroforestry, shrub, vegetable crops) decreased soil nutrient concentration (i.e. total C, total N, Ca, Mg, Na), and consequently resulted in degradation of soil nutrient stocks of especially C and N. The strong positive correlation between soil nutrient stock (e.g. C and N) and vegetation cover such as canopy cover, basal area, and litter (r = 0.63 – 0.78, r table 1% = 0.39) showed the benefit of biodiversity in maintaining soil function on the nutrient stock. 
PENERAPAN CITRA SENTINEL 2-A DALAM PENDUGAAN KALIUM PADA KENTANG Deffi Armita; Aditya Nugraha Putra; S Sudarto; Istika Nita; Hana Kusumawati; Dekan Rahmat Wahyudianto; Hanifah Ainur Dienna; Naafi Tiara Windari; Achmad Bima Fauzi; Ivena Hafshah Khairunnisa; Sri Agustiningsih; Rosy Lesmono Putri
Jurnal Tanah dan Sumberdaya Lahan Vol. 9 No. 1 (2022)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (540.849 KB) | DOI: 10.21776/ub.jtsl.2022.009.1.15

Abstract

Potato production in Indonesia decreased by 2.43% from 1,314,657 in 2019 and 1,282,768 tons in 2020. One of the causes of the decline in potato production is a lack of potassium. Potassium nutrient deficiency can be caused by fertilization that is not yet precise and is still done conventionally. The purpose of this study was to estimate the nutrient content of potassium using Sentinel 2-A. This study observed 50 points that were determined through the free grid method. Sentinel 2-A was transformed into GLI, GNDVI, NDVI which is the vegetation index and NDSI, and SAVI which is the soil index. The results showed that plant K correlated with GLI CS index (r = -0,46), NDVI CS (r = -0,48) and NDSI CS (r = -0,46). NDVI CS (R2 =2 3%) is the most accurate index in estimating the nutrient content of Potassium than GLI CS (R2 = 21%) and NDSI CS (R2 = 21%). Based on the results of the plant K regression test and NDVI CS, the regression equation y = 1,8003 + (-0,5716 NDVI CS) was obtained. The results of the validation test showed that the t table (-3.18) > t count (2.15) so that there is a significant difference in the estimation results of potassium with the results of potassium obtained in the field. Based on the results of the validation test which were significantly different, the productivity estimation model could not be used to estimate the potassium nutrient in potatoes.
Co-Authors Achmad Bima Fauzi Aditya Nugraha Putra Anita Dwy Fitria C Andriyanto D Suprayogo Deffi Armita Dekan Rahmat Wahyudianto Hana Kusumawati Hanifah Ainur Dienna Istika Nita Ivena Hafshah Khairunnisa Naafi Tiara Windari Rosy Lesmono Putri Sri Agustiningsih Syahrul Kurniawan