Dukungan Data Sumberdaya Lahan dalam Pengembangan Kawasan Sentra Produksi Pangan (Food Estate) di Provinsi Kalimantan Tengah

2021 ◽  
Vol 15 (1) ◽  
pp. 23
Author(s):  
Husnain Husnain ◽  
Anny Mulyani
Keyword(s):  
Land Management ◽  
Spatial Data ◽  
Mineral Soil ◽  
Geospatial Analysis ◽  
Rice Fields ◽  
Land Suitability ◽  
Land Resource ◽  
Central Kalimantan ◽  
Area Of Interest ◽  
Grand Design

<p><strong>Abtsrak.</strong> Pengembangan kawasan sentra pangan (<em>food estate</em>) di Provinsi Kaimantan Tengah memerlukan dukungan analisis geospasial kesesuaian biofisik lahan dari enam Kementerian/Lembaga terkait yang dikoordinir oleh Kemenko Perekonomian, sehingga diperoleh <em>area of interest</em> (AOI) kawasan pengembangan. Kementerian Pertanian (cq BBSDLP) telah memberikan data sumberdaya lahan berupa peta tanah, peta sebaran lahan gambut, peta sebaran perkebunan kelapa sawit, peta kesesuaian lahan, dan peta ketersediaan lahan Provinsi Kalimantan Tengah. Hasil analisis geospasial menunjukkan bahwa AOI kawasan pengembangan <em>food estate</em> seluas 770.600 ha. BBSDLP melakukan analisis geospasial lanjutan antara peta AOI dengan peta lahan rawa dan peta lahan gambut, hasilnya menunjukkan bahwa dari 770.600 ha tersebut terdiri dari rawa lebak 473.501 ha dan rawa pasang surut 269.451 ha atau terdiri dari 419.682 ha tanah mineral dan 350.918 ha tanah gambut. Berdasarkan rencana induk dan <em>Grand Design</em> pengembangan kawasan <em>food estate</em> akan terdiri dari intensifikasi dan ekstensifikasi. Pada tahun 2020 telah dilakukan intensifikasi pada lahan sawah eksisting yaitu 10.000 ha di Kabupaten Pulang Pisau dan 20.000 ha di Kabupaten Kapuas, berupa percepatan pengolahan lahan dan tanam dengan alat mesin pertanian, bantuan benih, dan pupuk. Dukungan data spasial sumberdaya lahan dalam pengembangan <em>food estate</em> meliputi peta calon petani calon lokasi (CPCL), sebaran kedalaman pirit, dan rekomendasi pengelolaan lahan. Pemanfaatan data spasial tersebut diharapkan dapat dijadikan acuan dalam penenetuan rekomendasi pemupukan dan pengelolaan lahan sehingga lahan sawah tersebut dapat berproduksi secara optimal sesuai dengan tipologi lahannya</p><p> </p><p><strong><em>Abstract.</em> </strong><em>Food estate development at Central Kalimantan Province needs supporting geospatial analysis of the biophysical land suitability from six related Ministries/Agencies which is organized by the Coordinating Ministry for Economic Affairs, in order to obtain the area of interest (AOI). The Ministry of Agriculture (cq BBSDLP) has provided land resource data for Central Kalimantan Province, i.e. soil maps, peat maps, oil palm plantation distribution maps, land suitability maps, and land availability maps. The analysis showed that the AOI for the food estate development area covers an area of 770,600 ha. BBSDLP conducted further geospatial analysis between the AOI map and the swamp land map and the peatland map. The result showed that this AOI is divided into 473,501 ha of swamp and 269,451 ha of tidal swamp, or consisting of 419,682 ha of mineral soil and 350,918 ha of peat soil. Based on the master plan and Grand Design, the development of the food estate area will be conducted by both intensification and extensification. In 2020, there has been intensification of the existing rice fields about 10,000 ha in Pulang Pisau Regency and 20,000 ha in Kapuas Regency, in the form of land processing and planting acceleration using agricultural machinery, and the assistance of seeds, and fertilizers. Supporting spatial data is consisted of maps of the farmers’ location, the distribution of pyrite depth, and the recommendations for land management. The spatial data is expected could be used as a reference in determining the appropriate fertilization recommendations and land management in accordance with the land typology. Therefore, the rice fields could produce optimally,</em></p>

scholarly journals Land-property and land-resource information obtained as a result of land management

2020 ◽  
Vol 579 ◽  
pp. 012132
Author(s):  
S N Volkov ◽  
T V Papaskiri ◽  
N N Alekseenko ◽  
E P Ananicheva ◽  
Yu I Rudinova
Keyword(s):  
Land Management ◽  
Land Resource ◽  
Resource Information

scholarly journals Change detection and building spatial geodatabase for Iraqi marshes

2018 ◽  
Vol 162 ◽  
pp. 03021
Author(s):  
Oday Jasim ◽  
Noor Hamed ◽  
Tamarra Abdulgabar
Keyword(s):  
Data Collection ◽  
Spatial Data ◽  
Satellite Images ◽  
The Other ◽  
Image Mosaic ◽  
Economic Potential ◽  
Second Stage ◽  
Area Of Interest ◽  
Natural Factors ◽  
Three Stages

The Iraqi Marshlands has natural and economic potential through its environment rich in various forms of lives. This region has suffered numerous setbacks due to human and natural factors, especially in the last two decades of the last century, which led to significant environmental degradation. The purpose of this paper is to prepare spatial data for the area of the marshes in Iraq as a base (Hour-al Hoveizah and central marshes and Hammar). Also, the other aim is to produce a digital geodatabase for the marshes for the years 1973, 1986, 1999, 2006 and 2016 by using ArcGIS. The process of building geodatabase has been through done in three stages: the first stage is including data collection. The second stage will be by merging the satellite images covering the Iraqi marshes and add to images in order to get the image mosaic process. Also, a georeferencing of satellite images is to be done with all the traditional maps of the same area of the marsh. Finally, complete the full geodatabase for the area of interest by using ArcGIS as the in Cartography Design. The results of this research would be a geodatabase for the Iraqi marshes.

scholarly journals KARAKTERISTIK, KESESUAIAN, DAN PENGELOLAAN LAHAN TAMBAK DI KOTA PEKALONGAN PROVINSI JAWA TENGAH

2016 ◽  
Vol 5 (3) ◽  
pp. 505 ◽  
Author(s):  
Rachmansyah Rachmansyah ◽  
Akhmad Mustafa ◽  
Mudian Paena
Keyword(s):  
Land Management ◽  
Paddy Field ◽  
Coastal Area ◽  
Sea Water ◽  
Saline Water ◽  
C:N Ratio ◽  
Land Suitability ◽  
Geographical Information ◽  
Acid Sulfate Soil ◽  
Acid Sulfate

Kota Pekalongan memiliki lahan tambak yang produktivitas tambaknya masih tergolong relatif rendah. Oleh karena itu, dilakukan penelitian untuk mengetahui karakteristik lahan dalam upaya menentukan kesesuaian dan pengelolaan lahan untuk budidaya tambak demi peningkatan produktivitas tambak di Kota Pekalongan. Faktor yang dipertimbangkan dalam mengetahui karakteristik lahan adalah: tanah, topografi, hidrologi, vegetasi, dan iklim. Analisis spasial dalam Sistem Informasi Geografis digunakan dalam penentuan kesesuaian lahan untuk budidaya tambak. Pengelolaan lahan ditentukan berdasarkan karakteristik lahan yang disesuaikan dengan teknologi dan komoditas yang dapat diaplikasikan di tambak. Tanah tambak di Kota Pekalongan tergolong tanah aluvial non-sulfat masam yang tidak memiliki potensi kemasaman tanah yang tinggi dan sebagian kecil tanah sulfat masam. Sumber air laut untuk tambak tergolong agak keruh dan salinitas air tambak cukup bervariasi sebagai akibat adanya sumber air tawar yang berasal dari Sungai Pekalongan dan sodetan. Vegetasi bakau adalah jenis vegetasi yang dominan di kawasan tambak sebab adanya Program GERHAN (Gerakan Nasional Rehabilitasi Hutan dan Lahan) di Kota Pekalongan. Curah hujan di Kota Pekalongan sebesar 2.300 mm/tahun di mana curah hujan yang rendah dijumpai pada bulan Juli sampai Oktober. Di kawasan pesisir Kota Pekalongan dijumpai tambak, sawah, sawah terintrusi, dan pemukiman yang luasnya masing-masing 332,29; 372,53; 183,83; dan 619,73 ha. Dari luas tambak yang ada di Kota Pekalongan, yaitu 331,292 ha ternyata tidak ada tambak yang tergolong sangat sesuai (kelas S1), 191,856 ha tergolong cukup sesuai (kelas S2) dan 140,436 ha tergolong kurang sesuai (kelas S3). Pada areal yang mengandung unsur atau senyawa penyebab kemasaman yang tinggi disarankan untuk melakukan upaya perbaikan tanah terlebih dahulu berupa remediasi, pemberian pupuk yang mengandung nitrogen pada areal yang memiliki rasio C:N tanah yang tinggi serta pemberian pupuk kandang pada tanah yang mengandung liat lebih besar 60% dan bahan organik kurang dari 8%.Pekalongan City has brackishwater ponds with low productivity. Hence, a survey was conducted to know land characteristics as an effort to determine land suitability and land management to increase the productivity of brackishwater ponds in Pekalongan City, Central Java Province. Factors considered to determine the characteristics of land were soil, topography, hydrology, vegetation, and climate. Spatial analysis in Geographical Information System was used to determine land suitability for brackishwater ponds. Land management was determined based on the characteristics of land conditioned to the types of technology and commodity applied in the brackishwater ponds. Soil of brackishwater ponds in Pekalongan City was dominated by alluvial non-acid sulfate soil in large areas and acid sulfate soil in small areas. Source of sea water for brackishwater ponds has high turbidity and high variation of salinity due to presence of freshwater supply from Pekalongan River and man made canals. Mangrove vegetation is dominant in the coastal area of Pekalongan City, because the presence of GERHAN (National Action for Forest and Land Rehabilitation) Program. The average of rainfall in Pekalongan City is 2,230 mm/year, where low of rainfall occurrs in July until October. The result revealed that the coastal area of Pekalongan City had brackishwater ponds, paddy field, paddy field intruded saline water and settlement of 332.29 ha; 372.53 ha; 183.83ha; and 619.73 ha, respectively. From the total brackishwater ponds in Pekalongan City i.e. 331.292 ha, there were no brackishwater ponds classified as highly suitable (S1 class), but it was found moderately suitable or S2 class (191.856 ha) and marginally suitable or S3 class (140,436 ha). It is suggested to conduct improving soil quality first, including remediation of the areas that contain elements or compounds causing the high acidity of soil, fertilizing with fertilizer containing nitrogen in the areas that have high C:N ratio and applying manure in the soils that contain clay more than 60% and organic matter less than 8%. 

Method and Research Development of Constructive Land Suitability Evaluation Based on GIS

2011 ◽  
Vol 243-249 ◽  
pp. 5818-5821
Author(s):  
Wen Hui Zheng
Keyword(s):  
Development Strategy ◽  
Evaluation Method ◽  
Land Suitability ◽  
Practical Significance ◽  
Historical Period ◽  
Land Resource ◽  
Extended Model ◽  
Research Development ◽  
Suitability Evaluation ◽  
Land Suitability Evaluation

Constructive land suitability evaluation is the premise of effectively disposing land resource. China is in the historical period that urbanization develops fleetly; the demand of construction land grows rapidly; carrying on the research about method of constructive land suitability evaluation presents strong practical significance and broad application prospect. The paper summarizes basic analysis method of constructive land suitability evaluation based on GIS from five basic links which cohere each other, and then introduces the research development of constructive land suitability evaluation from angles of ensuring evaluation factor and factor weight, evaluation factor classification, land classification. Finally, the paper analyses research direction of this work from angles of consummating the evaluation method and using new mathematical method, releasing the related criteria by government department, and the combination between urban extended model, area development strategy, and GIS.

scholarly journals Non-indigenous species management using a population prioritization framework

2007 ◽  
Vol 87 (5) ◽  
pp. 1029-1036 ◽  
Author(s):  
L. J. Rew ◽  
E. A. Lehnhoff ◽  
B. D. Maxwell
Keyword(s):  
Land Management ◽  
Population Monitoring ◽  
Management Control ◽  
Indigenous Species ◽  
Impact Monitoring ◽  
Area Of Interest ◽  
Indigenous Plant ◽  
Inventory Survey ◽  
The Impact ◽  
Prioritization Framework

Few agencies or land owners have sufficient resources to target every non-indigenous plant species (NIS) population once they have become established within a management area. Therefore, prioritization of NIS populations for management is a crucial component of the management process. Conceptually, effective management of NIS can be regarded as having four phases that revolve around the land management goals and how best to manage the NIS present in the area to achieve these goals. The key phases are determining the land management goals, inventory/survey, monitoring, evaluation and prioritization. Inventory/survey determines which species are present and their distribution within the landscape. These data can be used to develop probability of occurrence maps, which help in the nonbiased selection of populations for invasiveness and impact monitoring. Monitoring for invasiveness provides information on spatial and temporal changes within a population. Monitoring for impact assesses three types of impact: the impact of the NIS on the ecosystem, the impact of the management/control practices on the NIS, and th e impact of management/control practices on the ecosystem. These data can then be used to evaluate and prioritize which species and populations to manage, and how to manage them, and these decisions should then be extended over the area of interest. The management advantages provided by a population prioritization framework were evaluated with a simulation model and supported the importance of monitoring and prioritization to reduce metapopulation growth. Key words: Invasive species, weeds, survey, monitoring, adaptive management, rangeland, wildlands

scholarly journals LAND MANAGEMENT IN THE CONTEXT OF DIGITALIZATION

2020 ◽  
Vol 4 ◽  
pp. 140-146
Author(s):  
G.K. KURMANOVA ◽  
Keyword(s):  
Land Use ◽  
Information System ◽  
Real Estate ◽  
Land Management ◽  
Spatial Data ◽  
Free Access ◽  
The Real ◽  
The Real Estate ◽  
Digital Format ◽  
The Creation

To identify problems in land management and find ways to solve them, the modern structure of organization of rational land use is considered. The analysis of the digitalization of economy in advanced foreign countries is carried out. It has been determined that in order to implement effective land policy, it is necessary to use modern geoinformation technologies, in particular, introduction of digitalization in the field of land relations regulation. It was revealed that in recent years digital technologies have been actively used in agriculture of the republic on the basis of space monitoring, which makes it possible to determine the areas of agricultural crops, species yield, and weediness of fields. The efficiency of land management based on the creation of information system - a unified state cadastre of real estate for the implementation of the State program "Digital Kazakhstan" is shown. In matters of improving land use, it foresees the creation and implementation of a State cadastre of real estate and national spatial data infrastructure. Currently, a pilot project is being carried out to combine two information systems in order to obtain a unified information system for the real estate cadastre. It was concluded that provision of all types of services in accordance with land legislation must be converted into a digital format, thanks to which the public can get free access to information, the necessary services at a distance (without the obligatory attendance at public service centers), as well as in operational mode of obtaining them. For the efficient and rational use of land and work with real estate, a new structure should be created - the Real Estate Management Agency.

scholarly journals ANALISIS KUALITAS AIR DALAM PENENTUAN LOKASI BUDIDAYA RUMPUT LAUT (Eucheuma cottonii) DI KAWASAN TELUK PAREPARE

2020 ◽  
Vol 3 (2) ◽  
pp. 205-213
Author(s):  
Damis Damis ◽  
Muhammad Saenong
Keyword(s):  
Spatial Data ◽  
Research Method ◽  
Social Economic ◽  
Land Suitability ◽  
Spatial Data Analysis ◽  
Suitability Analysis ◽  
Seaweed Cultivation ◽  
System Method ◽  
Suitability Map ◽  
Eucheuma Cottonii

This study aims to determine land suitability for seaweed cultivation in the Parepare Bay Region, assessing the feasibility of developing seaweed cultivation; identify factors that influence the development of seaweed cultivation; Conformity evaluation conducted in this study is the actual suitability or suitability of seaweed cultivation land, where the resulting land suitability class is only based on available data, not considering social, economic, financial, and other aspects. The research method used is a direct survey at the research location. The results of the land suitability analysis are based on the suitability matrix: spatial data analysis using the Geogerafis Information System method, to determine the suitability of seaweed cultivation land. The results showed that the area of land suitability for seaweed cultivation based on the land suitability map was appropriate (S) ± 578.57 ha and not suitable (N) ± 759.68 ha

scholarly journals Spatial Analysis of the Land Suitability for Cocoa Plantations in East Dusun District

2019 ◽  
Vol 3 (2) ◽  
pp. 228-234
Author(s):  
Natan Nael ◽  
Frederik Samuel Papilaya
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Geographic Information ◽  
Land Suitability ◽  
Climate Conditions ◽  
Central Kalimantan ◽  
The Government ◽  
Main Component ◽  
System Capability

The expansion of plantations of cocoa is the main component in the plantation revitalization program which is applied by the Government of Indonesia in order to optimize the potential of cocoa. This policy has not been implemented well in East Dusun District, East Barito Regency, Central Kalimantan province that just open cocoa plantations covering an area of 3 ha in the year 2016. The spatial analysis of land suitability by utilizing Geographic Information System capability that allows the expansion of plantations of cacao in this district. Spatial analysis to get the suitability of land for cocoa plantations uses overlay based on climate conditions and regulations of the Governor of Central Kalimantan. The proportion of land suitability class that is highly suitable, suitable, marginally suitable, and not suitable with each area size of 56,434.63 ha, 2,302.81 ha, not found, and 19,510.42 ha.   Keywords: Cocoa, Overlay, Land Suitability  

scholarly journals Optimization for prediction model of palm oil land suitability using spatial decision tree algorithm

2020 ◽  
Vol 8 (3) ◽  
pp. 192-200
Author(s):  
Andi Nurkholis ◽  
Imas Sukaesih Sitanggang
Keyword(s):  
Decision Tree ◽  
Palm Oil ◽  
Land Use Planning ◽  
Spatial Data ◽  
Vital Role ◽  
Exchange Capacity ◽  
Land Suitability ◽  
Decision Tree Algorithm ◽  
Spatial Join ◽  
Tree Algorithm

Land suitability evaluation has a vital role in land use planning aimed to increase food production effectiveness. Palm oil is a leading and strategic commodity for Indonesian people, which is predicted consumption will exceed production in the future. This study aims to evaluate palm oil land suitability using a spatial decision tree algorithm that is conventional decision tree modification for spatial data classification with adding spatial join relation. The spatial dataset consists of eight explanatory layers (soil nature and characteristics), and a target layer (palm oil land suitability) in Bogor District, Indonesia. This study produced three models, where the best model was obtained based on optimizing accuracy (98.18 %) and modeling time (1.291 seconds). The best model has 23 rules, soil texture as the root node, two variables (drainage and cation exchange capacity) are uninvolved, with land suitability visualization obtains percentage S2 (29.94 %), S3 (53.16 %), N (16.57 %), and water body (0.33 %).

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