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Journal articles on the topic 'Land capability for agriculture – Data processing'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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1

Thompson, M. W., J. Hiestermann, and L. Moyo. "PROVING THE CAPABILITY FOR LARGE SCALE REGIONAL LAND-COVER DATA PRODUCTION BY SELF-FUNDED COMMERCIAL OPERATORS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W2 (November 16, 2017): 209–12. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w2-209-2017.

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For service providers developing commercial value-added data content based on remote sensing technologies, the focus is to typically create commercially appropriate geospatial information which has downstream business value. The primary aim being to link locational intelligence with business intelligence in order to better make informed decisions. From a geospatial perspective this locational information must be relevant, informative, and most importantly current; with the ability to maintain the information timeously into the future for change detection purposes. Aligned with this, GeoTerraIm

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Hosseiny, Benyamin, Heidar Rastiveis, and Saeid Homayouni. "An Automated Framework for Plant Detection Based on Deep Simulated Learning from Drone Imagery." Remote Sensing 12, no. 21 (2020): 3521. http://dx.doi.org/10.3390/rs12213521.

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Traditional mapping and monitoring of agricultural fields are expensive, laborious, and may contain human errors. Technological advances in platforms and sensors, followed by artificial intelligence (AI) and deep learning (DL) breakthroughs in intelligent data processing, led to improving the remote sensing applications for precision agriculture (PA). Therefore, technological advances in platforms and sensors and intelligent data processing methods, such as machine learning and DL, and geospatial and remote sensing technologies, have improved the quality of agricultural land monitoring for PA

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Taryono, T., Sugiharto Budi Santoso, and Yuli Priyana. "Geomorfological Study on the Evaluation of Critical Land in Cepogo, Boyolali, Central Java Province." Forum Geografi 15, no. 2 (2016): 113. http://dx.doi.org/10.23917/forgeo.v15i2.4576.

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Land is natural resources within processing needs to the wise action in order to give good returns for human and being prevented it’s conservation. In the utility of it’s land this land is proper to the agriculture land have sometime emergedthe environment problems, namely the balance of nature is disturbed. It doesn’t mean that land is forbidden to use, but in the it’s utility purposes this land must be considered it’s capability or it’s balance. If form and manner of using this land doesn’t disturb the natural balance, it means to be guaranted. In the countrary, if form and remain to be guar

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Caldas, Anildo, Teresa Pissarra, Renata Costa, et al. "Flood Vulnerability, Environmental Land Use Conflicts, and Conservation of Soil and Water: A Study in the Batatais SP Municipality, Brazil." Water 10, no. 10 (2018): 1357. http://dx.doi.org/10.3390/w10101357.

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In many regions across the planet, flood events are now more frequent and intense because of climate change and improper land use, resulting in risks to the population. However, the procedures to accurately determine the areas at risk in regions influenced by inadequate land uses are still inefficient. In rural watersheds, inadequate uses occur when actual uses deviate from land capability, and are termed environmental land use conflicts. To overcome the difficulty to evaluate flood vulnerability under these settings, in this study a method was developed to delineate flood vulnerability areas

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Yao, Huang, Rongjun Qin, and Xiaoyu Chen. "Unmanned Aerial Vehicle for Remote Sensing Applications—A Review." Remote Sensing 11, no. 12 (2019): 1443. http://dx.doi.org/10.3390/rs11121443.

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The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in almost every application (e.g., agriculture, forestry, and mining) that needs observed information from the top or oblique views. While they intend to be a general remote sensing (RS) tool, the relevant RS data processing and analysis methods are still largely ad-hoc to applications. Although the obvious advantages of UAV data are their high spatial resolution and flexibility in acquisition and sensor integration, there is in general a lack of systematic analysis on how these characteristics alter solutions for

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Howari, F. M. "The use of remote sensing data to extract information from agricultural land with emphasis on soil salinity." Soil Research 41, no. 7 (2003): 1243. http://dx.doi.org/10.1071/sr03033.

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The rapid growth of information technologies has provided exciting new sources of data, interpretation tools, and modelling techniques to soil research and education communities at all levels. This paper presents some examples of the capability of remote sensing data such as Landsat ETM+, airborne visible/infrared imaging spectrometer (AVIRIS), colour infrared aerial photos (CIR), and high-resolution field spectroradiometer (GER 3700) to extract surface information about soil salinity. The study used image processing techniques such as supervised classification, spectral extraction, and matchi

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Zhang, Yonghong, Hongan Wu, Mingju Li, Yonghui Kang, and Zhong Lu. "Investigating Ground Subsidence and the Causes over the Whole Jiangsu Province, China Using Sentinel-1 SAR Data." Remote Sensing 13, no. 2 (2021): 179. http://dx.doi.org/10.3390/rs13020179.

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Interferometric synthetic aperture radar (InSAR) mapping of localized ground surface deformation has become an important tool to manage subsidence-related geohazards. However, monitoring land surface deformation using InSAR at high spatial resolution over a large region is still a formidable task. In this paper, we report a research on investigating ground subsidence and the causes over the entire 107, 200 km2 province of Jiangsu, China, using time-series InSAR. The Sentinel-1 Interferometric Wide-swath (IW) images of 6 frames are used to map ground subsidence over the whole province for the p

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Wang, Lijun, Jiayao Wang, and Fen Qin. "Feature Fusion Approach for Temporal Land Use Mapping in Complex Agricultural Areas." Remote Sensing 13, no. 13 (2021): 2517. http://dx.doi.org/10.3390/rs13132517.

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Accurate temporal land use mapping provides important and timely information for decision making for large-scale management of land and crop production. At present, temporal land cover and crop classifications within a study area have neglected the differences between subregions. In this paper, we propose a classification rule by integrating the terrain, time series characteristics, priority, and seasonality (TTPSR) with Sentinel-2 satellite imagery. Based on the time series of Normalized Difference Water Index (NDWI) and Vegetation Index (NDVI), a dynamic decision tree for forests, cultivatio

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Khan, Fatima Hameed, Muhammad Adeel Pasha, and Shahid Masud. "Advancements in Microprocessor Architecture for Ubiquitous AI—An Overview on History, Evolution, and Upcoming Challenges in AI Implementation." Micromachines 12, no. 6 (2021): 665. http://dx.doi.org/10.3390/mi12060665.

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Artificial intelligence (AI) has successfully made its way into contemporary industrial sectors such as automobiles, defense, industrial automation 4.0, healthcare technologies, agriculture, and many other domains because of its ability to act autonomously without continuous human interventions. However, this capability requires processing huge amounts of learning data to extract useful information in real time. The buzz around AI is not new, as this term has been widely known for the past half century. In the 1960s, scientists began to think about machines acting more like humans, which resul

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Syahza, Almasdi, and Mitri Irianti. "Formulation of control strategy on the environmental impact potential as a result of the development of palm oil plantation." Journal of Science and Technology Policy Management 12, no. 1 (2021): 106–16. http://dx.doi.org/10.1108/jstpm-06-2019-0059.

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Purpose The purpose of this study is to analyze strategies for controlling potential environmental impacts as a result of developing oil palm plantations. Design/methodology/approach Research sites in the first year have been carried out in potential areas for the development of oil palm plantations, both through plasma through Badan Usaha Milik Negara (state-owned enterprises) and Badan Usaha Milik Swasta (private-owned companies) and self-help by the community. The research locations were carried out in the Riau mainland areas, including Kampar, Rokan Hulu and Kuantan Singingi regencies. In

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Guliyeva, S. H. "LAND COVER / LAND USE MONITORING FOR AGRICULTURE FEATURES CLASSIFICATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B3-2020 (August 21, 2020): 61–65. http://dx.doi.org/10.5194/isprs-archives-xliii-b3-2020-61-2020.

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Abstract. Remote sensing applications are directed to agricultural observation and monitoring. It has been huge of scientific papers are dedicated to the research of the contribution of remote sensing for agriculture studies. There are several global challenges needed to be considered within agriculture activities. It can be embraced by the main agriculture sector facing the obstacles impacting the production and productivity of the sector. These are the following options that can be pointed out: biomass and yield estimation; vegetation vigor and drought stress monitoring; assessment of crop p

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Rai, Dil Kumar, and Furbe Lama. "Hill slope terrain and land-use assessment using GIS and Remote Sensing techniques: A case of Pikhuwa sub-watershed in the Mid-hill, Nepal." Nepal Journal of Environmental Science 6 (December 31, 2018): 29–37. http://dx.doi.org/10.3126/njes.v6i0.30124.

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Agriculture practice on hill-slope terrain depicts the sensitivity indicators of the vulnerability in terms of global climate change. The major aims of the present research are to assess the land-use pattern conditioned by existing hill-slope terrain based on different land capability class recommend by land resources mapping project, 1986 in the Pikhuwa sub-watershed of Mid-hills, Bhojpur, Nepal. An overall research data derived, processed and analyzed using Geographic Information System and Remote sensing tools and techniques. The land capability class, current land-use and digital elevation

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Hou, Lin Chun, and Hui Qin Li. "The Quantitative Evaluation on the Response of Climate Change upon the Sustainability of the Agricultural Production." Advanced Materials Research 129-131 (August 2010): 1161–65. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.1161.

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The aim: quantitatively evaluate the response of climate change upon the sustainability of the agricultural production. The method: the paper selected two regions (Hubei and shan’xi province) which represented different climate environment, utilized modern statistic data, Principal Component Analysis and multivariate linear regression to quantitatively evaluate the influence of climate change upon agricultural production through isolating climate environment from arable area, land utilization and management and landform and so on. The conclusion: The study indicated that when environmental con

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Ippolito, Tara A., Jeffrey E. Herrick, Ekwe L. Dossa, et al. "A Comparison of Approaches to Regional Land-Use Capability Analysis for Agricultural Land-Planning." Land 10, no. 5 (2021): 458. http://dx.doi.org/10.3390/land10050458.

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Smallholder agriculture is a major source of income and food for developing nations. With more frequent drought and increasing scarcity of arable land, more accurate land-use planning tools are needed to allocate land resources to support regional agricultural activity. To address this need, we created Land Capability Classification (LCC) system maps using data from two digital soil maps, which were compared with measurements from 1305 field sites in the Dosso region of Niger. Based on these, we developed 250 m gridded maps of LCC values across the region. Across the region, land is severely l

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Maryati, Sri, Sunarty Eraku, and Muh Kasim. "Conservation Management of Agriculture Land using Geospatial Approach (A Case Study in the Bone Watershed, Gorontalo Province, Indonesia)." E3S Web of Conferences 31 (2018): 08009. http://dx.doi.org/10.1051/e3sconf/20183108009.

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Bone Watershed is one of the major watersheds in Gorontalo Province. Bone watershed has a very important role for the people of Gorontalo Province. The role of Bone Watershed is mainly related to the providing clean water, producing oxygen, controlling flood, providing habitat for endemic flora fauna and other environmental functions. The role of Bone Watershed for the community’s economic sector is also very important, the Bone watershed provides livelihood for surrounding communities includes fertile land resources for agriculture and plantations, forest products, and livestock feed. This re

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Et. al., Ancy Stephen,. "Using Open Remote Sensing Data to build an Agriculture Big Data System." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 429–36. http://dx.doi.org/10.17762/turcomat.v12i2.830.

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Landsat, MODIS, and Sentinel satellites are continuously producing multispectral sensor data with different spatial, temporal, and radiometric resolutions. This raw sensor data is calibrated and processed further, and additional data products are derived, which greatly reduces the burden for downstream applications from preprocessing these data. These petabyte-scale datasets are available to anyone free of charge. Remote sensing plays a key role in modern Agriculture. We can extract information about Soil, Weather, Water, and vegetation from these datasets. By processing historical remote sens

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Suherlan, Suherlan, Asep Sumaryana, Rita Myrna, and Josy Adiwisastra. "KAPABILITAS ORGANISASI DINAS PERTANIAN TANAMAN PANGAN BAGI PENINGKATAN PRODUKSI KOMODITAS PADI DI KABUPATEN SUBANG TAHUN 2016-2018." JURNAL GOVERNANSI 5, no. 2 (2019): 139. http://dx.doi.org/10.30997/jgs.v5i2.2174.

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The organizational capability of the Local Office of Agriculture and Food Plantation for improving the rice commodity production in Subang Regency year 2016-2018 had not been suitable yet with the plan of the Local Government of Subang Regency as regulated in the Local Regulation No. 14/2014 concerning the Local Middle Term Development Plan of Subang Regency Year 2014-2018 in order to increase the rice commodity production from 1.1 million ton to 1.6 million ton. The aim of this research is to describe the organizational capability of the Local Office of Agriculture and Food Plantation for imp

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Ottinger, Marco, and Claudia Kuenzer. "Spaceborne L-Band Synthetic Aperture Radar Data for Geoscientific Analyses in Coastal Land Applications: A Review." Remote Sensing 12, no. 14 (2020): 2228. http://dx.doi.org/10.3390/rs12142228.

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The coastal zone offers among the world’s most productive and valuable ecosystems and is experiencing increasing pressure from anthropogenic impacts: human settlements, agriculture, aquaculture, trade, industrial activities, oil and gas exploitation and tourism. Earth observation has great capability to deliver valuable data at the local, regional and global scales and can support the assessment and monitoring of land- and water-related applications in coastal zones. Compared to optical satellites, cloud-cover does not limit the timeliness of data acquisition with spaceborne Synthetic Aperture

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Adab, Hamed, Renato Morbidelli, Carla Saltalippi, Mahmoud Moradian, and Gholam Abbas Fallah Ghalhari. "Machine Learning to Estimate Surface Soil Moisture from Remote Sensing Data." Water 12, no. 11 (2020): 3223. http://dx.doi.org/10.3390/w12113223.

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Soil moisture is an integral quantity parameter in hydrology and agriculture practices. Satellite remote sensing has been widely applied to estimate surface soil moisture. However, it is still a challenge to retrieve surface soil moisture content (SMC) data in the heterogeneous catchment at high spatial resolution. Therefore, it is necessary to improve the retrieval of SMC from remote sensing data, which is important in the planning and efficient use of land resources. Many methods based on satellite-derived vegetation indices have already been developed to estimate SMC in various climatic and

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Nugraha Putra, Aditya, Istika Nita, Muhammad Rifqi Al Jauhary, Shofie Rindi Nurhutami, and Mohd Hasmadi Ismail. "Landslide Risk Analysis on Agriculture Area in Pacitan Regency in East Java Indonesia Using Geospatial Techniques." Environment and Natural Resources Journal 19, no. 2 (2021): 141–52. http://dx.doi.org/10.32526/ennrj/19/2020167.

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Pacitan is one of the regencies in East Java Province, dominated by hills and mountain landforms covering 85% of its area. Since 2011, more than 16 landslides have occurred significantly in this area. These disasters have engulfed more than 350 ha of agricultural land in Pacitan. This study analyzed the risk of future landslides due to land use change. The parameters used were rainfall, slope, topography, geology, soil, and land use which were assessed and weighed by the Paimin method. Land-use classification from Landsat 8 OLI in 1998, 2008, and 2018 were analyzed using regression formula to

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Özşahin, Emre, and İlker Eroğlu. "Land capability classification based on ecological properties of Tekirdag provinceTekirdağ ilinin ekolojik koşullarına göre arazi kabiliyet sınıflandırması." Journal of Human Sciences 15, no. 2 (2018): 835. http://dx.doi.org/10.14687/jhs.v15i2.4958.

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The lands on the earth are classified based on their capability to be used properly to ensure their planned and appropriate use and management. This assures an optimal use of lands. The studies conducted in Turkey so far have failed to provide a land capability classification that is appropriate to the conditions in Turkey and characterizes them adequately, which has resulted in land uses inappropriate to their capabilities and certain environmental problems. The studies carried out in recent years have make it clear that land capability classification made in line with ecological conditions i

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Nugroho, Jalu Tejo, Zylshal Zylshal, and Dony Kushardono. "LAPAN-A3 SATELLITE DATA ANALYSIS FOR LAND COVER CLASSIFICATION (CASE STUDY: TOBA LAKE AREA, NORTH SUMATRA)." International Journal of Remote Sensing and Earth Sciences (IJReSES) 15, no. 1 (2018): 71. http://dx.doi.org/10.30536/j.ijreses.2018.v15.a2782.

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LAPAN-A3 is the 3rdgeneration satellite for remote sensing developed by National Institute of Aeronautics and Space (LAPAN). The camera provides imagery with 15 m spatial resolution and able to view a swath 120 km wide. This research analyzes the performance of LAPAN-A3 satellite data to classify land cover in Toba Lake area, North Sumatera. Data processing starts from the selection of region of interest up to the assessment of accuracy. Supervised classification with maximum likelihood approach and confusion matrix method was applied to classify and evaluate the assessment results. The land c

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Stepchenko, Arthur. "LAND COVER CLASSIFICATION BASED ON MODIS IMAGERY DATA USING ARTIFICIAL NEURAL NETWORKS." Environment. Technology. Resources. Proceedings of the International Scientific and Practical Conference 2 (June 15, 2017): 159. http://dx.doi.org/10.17770/etr2017vol2.2545.

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Remote sensing has been widely used to obtain land cover information using automated classification. Land cover is a measure of what is overlaying the surface of the earth. Accurate mapping of land cover on a regional scale is useful in such fields as precision agriculture or forest management and is one of the most important applications in remote sensing. In this study, multispectral MODIS Terra NDVI images and an artificial neural network (ANN) were used in land cover classification. Artificial neural network is a computing tool that is designed to simulate the way the human brain analyzes

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Kargashin, P. E., B. A. Novakovskiy, and A. I. Prasolova. "GIS analysis of crop resources for renewable energy on the regional scale (on the example of the south-western part of the Crimea peninsula)." Geodesy and Cartography 934, no. 4 (2018): 31–39. http://dx.doi.org/10.22389/0016-7126-2018-934-4-31-39.

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There are many researches concerning renewable energy theme nowadays. The most popular topic deal with solar and wind energy sources. Therefore, some regions in Russia have another suitable renewable source of energy – wastes of agriculture that can be used to establish regional bioenergy. Insufficient data constrains the investigation aimed at gross potential assessment. It is common to use statistics, which show the state of agriculture in general and without any details of regional distribution of croplands. In this article, we suggest the methods that allows getting suitable data via Lands

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Priyadi, Priyadi. "Analysis of Spatio Temporal Change of Land Use of Chrysanthemum Farm in Semarang Regency Using Landsat Image 8 OLI." Indonesian Journal of Computing and Modeling 1, no. 2 (2018): 49–54. http://dx.doi.org/10.24246/j.icm.2018.v1.i2.p49-54.

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Agriculture is a business issue that has long existed and will likely continue to exist throughout the ages. Similarly, on the issue of agricultural land use chrysanthemum that needs to be developed method of analysis using technology approach and computer science. This research intends to analyze and develop effective and efficient methods of chrysanthemum land use. The satellite imagery data covering pre-processing, processing and post processing in this research is mostly done with QGIS software. Satelite image used in this research is LANDSAT 8 OLI and band used are band 6, bang 5, band 2

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Pásztor, László, J. Szabó, and Zs Bakacsi. "GIS Processing of Large-scale Soil Maps in Hungary." Agrokémia és Talajtan 51, no. 1-2 (2002): 273–82. http://dx.doi.org/10.1556/agrokem.51.2002.1-2.32.

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GIS adaptation and digital reambulation of large-scale soil information originating from various agrogeological surveys has become a key issue in Hungary due the recent challenges. The national programme initiated by L. Kreybig for the systematic, 1:25,000 scale practical soil mapping of Hungary was carried out between 1935 and 1951, and provided detailed soil information (1:25,000 scale maps and complementary database in the form of explanatory booklets) for the whole country. Later farm level (1:10,000 scale) soil surveys fulfilled the practical requirements of Hungarian agriculture, produci

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Costa, H., P. Benevides, F. Marcelino, and M. Caetano. "INTRODUCING AUTOMATIC SATELLITE IMAGE PROCESSING INTO LAND COVER MAPPING BY PHOTO-INTERPRETATION OF AIRBORNE DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W11 (February 14, 2020): 29–34. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w11-29-2020.

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Abstract. A series of five land cover maps, widely known as COS (Carta de Uso e Ocupação do Solo), have been produced since 1990 for mainland Portugal. Previous to 2015, all maps were produced through photo-interpretation of orthophotos. Land cover and land use changes were detected through comparison of previous and recent orthophotos, which were used for map updating, thereby producing a new map. The remaining areas of no change were preserved across the maps for consistency. Despite the value of the maps produced, the method is very time-consuming and limited to the single-date reference of

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Jevtic, Marija, Branislava Belic, and Danica Glavas–Trbic. "One Health Approach in Traditional Milk Production as a Part of Steps towards SDGs." European Journal of Sustainable Development 9, no. 1 (2020): 263. http://dx.doi.org/10.14207/ejsd.2020.v9n1p263.

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The production of milk and cheese assumes activities in the field of agricultural production, veterinary health, and the use of milk and dairy products has public health significance, and can be viewed through the "one health" concept. The aim of the paper is to underline public health and sustainability significance of interconnection among agriculture, veterinary and technology. Production of hard cheese with added value from milk produced in organic and self-sustaining systems research the risks, advantages and possibilities of traditional cheese production and focused on creating condition

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Lazaridou, M. A., and A. Ch Karagianni. "LANDSAT 8 MULTISPECTRAL AND PANSHARPENED IMAGERY PROCESSING ON THE STUDY OF CIVIL ENGINEERING ISSUES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 941–45. http://dx.doi.org/10.5194/isprsarchives-xli-b8-941-2016.

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Scientific and professional interests of civil engineering mainly include structures, hydraulics, geotechnical engineering, environment, and transportation issues. Topics included in the context of the above may concern urban environment issues, urban planning, hydrological modelling, study of hazards and road construction. Land cover information contributes significantly on the study of the above subjects. Land cover information can be acquired effectively by visual image interpretation of satellite imagery or after applying enhancement routines and also by imagery classification. The Landsat

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Lazaridou, M. A., and A. Ch Karagianni. "LANDSAT 8 MULTISPECTRAL AND PANSHARPENED IMAGERY PROCESSING ON THE STUDY OF CIVIL ENGINEERING ISSUES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 941–45. http://dx.doi.org/10.5194/isprs-archives-xli-b8-941-2016.

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Scientific and professional interests of civil engineering mainly include structures, hydraulics, geotechnical engineering, environment, and transportation issues. Topics included in the context of the above may concern urban environment issues, urban planning, hydrological modelling, study of hazards and road construction. Land cover information contributes significantly on the study of the above subjects. Land cover information can be acquired effectively by visual image interpretation of satellite imagery or after applying enhancement routines and also by imagery classification. The Landsat

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Mardani, Mohammad, Hossein Mardani, Lorenzo De Simone, Samuel Varas, Naoki Kita, and Takafumi Saito. "Integration of Machine Learning and Open Access Geospatial Data for Land Cover Mapping." Remote Sensing 11, no. 16 (2019): 1907. http://dx.doi.org/10.3390/rs11161907.

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In-time and accurate monitoring of land cover and land use are essential tools for countries to achieve sustainable food production. However, many developing countries are struggling to efficiently monitor land resources due to the lack of financial support and limited access to adequate technology. This study aims at offering a solution to fill in such a gap in developing countries, by developing a land cover solution that is free of costs. A fully automated framework for land cover mapping was developed using 10-m resolution open access satellite images and machine learning (ML) techniques f

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Tiwow, H. A. L., V. V. J. Panelewen, and Arie Dp Mirah. "ANALISIS POTENSI DAYA DUKUNG LAHAN UNTUK PENGEMBANGAN SAPI POTONG DI KAWASAN PAKAKAAN KABUPATEN MINAHASA." ZOOTEC 36, no. 2 (2016): 476. http://dx.doi.org/10.35792/zot.36.2.2016.13039.

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ANALYSIS OF LAND CARRYING CAPACITY AND ITS POTENCY FOR BEEF CATTLE DEVELOPMENT IN PAKAKAAN MINAHASA REGENCY. This study has been conducted in The PAKAKAAN, Minahasa Regency on February 2nd - April 5th 2014. The study aimed to: identify and calculate the carrying capacity of the land as a source of forage feed. Method of analysis that used in this study was descriptive analysis, where the research locations was selected by purposive sampling method, with consideration that the area is agropolitan region, in which beef cattle as the main commodity. Data collected were included secondary data. Se

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Hashim, Haslina, Zulkiflee Abd Latif, and Nor Aizam Adnan. "Land use land cover analysis with pixel-based classification approach." Indonesian Journal of Electrical Engineering and Computer Science 16, no. 3 (2019): 1327. http://dx.doi.org/10.11591/ijeecs.v16.i3.pp1327-1333.

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<p>Rapid development in certain urban area will affect its natural features. Therefore, it is important to identify and determine the changes occur for further analysis and future development planning. This process will influence several factors such as area development, environmental issues and human social activities. The selection of remote sensing data and method will derive the accurate land use land cover maps. This research study accessed the classification accuracy of different classifier approach for land use land cover classification in urban area. The objective of this paper i

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Raymond, Gérard. "LAND INFORMATION SYSTEMS IN CANADA." Canadian Surveyor 40, no. 2 (1986): 111–34. http://dx.doi.org/10.1139/tcs-1986-0013.

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The United States Department of Defense (DoD) Navy Navigation Satellite System (NNSS), commonly known as Transit, has been used extensively since 1967 for civilian geodetic surveying and navigation. With the advent of the Global Positioning System (GPS), the DoD will have no further need for Transit and plans to shut down the system in 1994. GPS receivers are still expensive and Transit Doppler receivers purchased today, according to the planned schedule, would have a limited life span of less than ten years. In this paper we present an economical method of acquiring the capabilities of modern

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Tripathi, A., and R. K. Tiwari. "UTILIZATION OF SPACEBORNE C-BAND SAR DATA FOR ANALYSIS OF FLOOD IMPACT ON AGRICULTURE AND ITS MANAGEMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W6 (July 26, 2019): 521–24. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w6-521-2019.

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<p><strong>Abstract.</strong> North India, since time immemorial remained the cradle of agricultural development. Every year during the monsoons, there is a high upsurge in the river Rapti. This leads to heavy flooding in the area and takes a toll on life and property besides submerging acres of precious agricultural land. Till now, such floods have been mapped using satellite data from optical sensors, but in monsoons due to cloud cover the task becomes difficult. Spaceborne SAR (Synthetic Aperture RADAR) data solves this problem by offering all-weather availability. This st

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Widiatmoko, Nicko, Suria Darma Tarigan, and Enni Dwi Wahjunie. "Analisis Respons Hidrologi untuk Mendukung Perencanaan Pengelolaan Sub-DAS Opak Hulu, Daerah Istimewa Yogyakarta." Jurnal Ilmu Pertanian Indonesia 25, no. 4 (2020): 503–14. http://dx.doi.org/10.18343/10.18343/jipi.25.4.503.

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Land use change is one of the causes of the decreasing of hydrological function that affects the hydrological response of a watershed. Planning of watershed management needs to be conducted to improve the hydrological function of the watershed. This study aims to determine the hydrological response in supporting watershed management planning in Opak Hulu Watershed. This research was conducted using the Soil and Water Assessment Tool (SWAT) hydrological modeling. The method used included data collection, processing of input data, running of SWAT model, calibration, validation, and the decision

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Sharififar, Amin, Hadi Ghorbani, and Haji Karimi. "Integrated Land Evaluation for Sustainable Agricultural Production by Using Analytical Hierarchy Process." Agriculture (Pol'nohospodárstvo) 59, no. 3 (2013): 131–40. http://dx.doi.org/10.2478/agri-2013-0012.

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Abstract This study discusses sustainable agricultural production by land evaluation based on a multiple criteria approach. The study was carried out in the Bastam region located at the north Shahrood township of Semnan Province in the northeast of Iran. Soil, landscape and climatic data were collected to assess the study area based on its capability for cultivation of apple, tomato, wheat and white potato. Making the final decision for growing the most appropriate crop was based upon three criteria: (1) the physical suitability of the study area for crop cultivation; (2) environmental conside

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Ruman, Rifyan, Setia Hadi, and Baba Barus. "ANALISIS KETIMPANGAN WILAYAH DAN ARAHAN PENGEMBANGAN WILAYAH DI KABUPATEN BURU PROVINSI MALUKU." TATALOKA 20, no. 4 (2018): 472. http://dx.doi.org/10.14710/tataloka.20.4.472-485.

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The purpose of this study was to determine the class-leading commodity and land capability and potential of land that can be used for agricultural development in Buru. Data analysis method used was overlying maps, Location Quotient (LQ) and Shift Share Analysis (SSA) to determine the main commodity. The result is elaborated as follow inequality in Buru can be seen from inadequate infrastructure especially the condition of road, education and health facilities. Based on analysis of LQ and SSA in the Buru Regency, Commodities priorities in this region are sweet potatoes, peanuts, green beans, pe

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Kapsdorferová, Zuzana, Silvia Jacková, and Petronela Švikruhová. "The state and the share of rural women on the agricultural entrepreneurship activities in the Slovak republic." Potravinarstvo Slovak Journal of Food Sciences 15 (June 28, 2021): 585–91. http://dx.doi.org/10.5219/1484.

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The economic empowerment of rural women in the recent development of agriculture through entrepreneurship is considered an important challenge. Rural women often manage complex households and pursue multiple livelihood strategies. Their activities typically include cultivation of crops, farming animals, processing and preparing food, working for wages in agricultural or other rural enterprises, collecting fuel and water, engaging in trade and marketing, caring for family members, and maintaining their homes. The research aimed to collect up-to-date data on Slovak rural women dealing with busin

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Shapovalov, Vitaliy A. "System of Warning about Dangerous Atmospheric Phenomena in the North Caucasus for Objects of Economic Activity." Materials Science Forum 931 (September 2018): 1019–24. http://dx.doi.org/10.4028/www.scientific.net/msf.931.1019.

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This paper presents the developed program-mathematical software for receiving, archiving, analysis and display of radar, lightning and satellite data on clouds and precipitation, interfacing of meteorological information. The program of processing of meteorological information "GIMET-2010" is established on a network of weather radars DMRL-C of the Russian Federation. An automated system combining radar and lightning detection system information applies to the command posts of the uniformed services on the fight against hail and centers of severe storm warning. Following items are provided: a

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Winkler, Robert. "MeteoMex: open infrastructure for networked environmental monitoring and agriculture 4.0." PeerJ Computer Science 7 (February 23, 2021): e343. http://dx.doi.org/10.7717/peerj-cs.343.

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Air, water, and soil are essential for terrestrial life, but pollution, overexploitation, and climate change jeopardize the availability of these primary resources. Thus, assuring human health and food production requires efficient strategies and technologies for environmental protection. Knowing key parameters such as soil moisture, air, and water quality is essential for smart farming and urban development. The MeteoMex project aims to build simple hardware kits and their integration into current Internet-of-Things (IoT) platforms. This paper shows the use of low-end Wemos D1 mini boards to

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Rahmah, Ulya, and Endah Djuwendah. "Performance Analysis of Sustainable Agrotourism in Lebakmuncang Village." Journal of Business on Hospitality and Tourism 7, no. 1 (2021): 20. http://dx.doi.org/10.22334/jbhost.v7i1.256.

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Agro-tourism in Lebakmuncang Village has a selling value in the form of natural potential, agriculture, arts, crafts, and traditional culinary processing typical of the village. This agro-tourism has the potential of a sustainable tourism object. The purpose of this research is to measure the performance of agro-tourism from the perspective of naturalness, uniqueness, workforce involvement, land-use optimization, area arrangement, and education. The research design used is descriptive quantitative with a survey method. Collecting data using observation, questionnaires, interviews, and literatu

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G.Tejaswi, D. Likhitha, D. Soumya Sree, and Vishnu Vardhan B. "The Intercropping Using NRC Algorithm." International Journal of Engineering and Computer Science 9, no. 06 (2020): 25057–69. http://dx.doi.org/10.18535/ijecs/v9i06.4492.

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To predict the crop rotation for varied sorts of soil and might be done through soil fertility, water level, chemical level, climatic condition and etc. Here, mistreatment totally different data processing techniques over agriculture land soil testing is that the methodology is mistreatment wide wherever that crop is often farmed when that crop. As an example, rice is going to be cultivated at intervals seven months to eight months. The remaining time the farm won't be left empty. Another crop could cultivate for the opposite four months.

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Holloway, Jacinta, and Kerrie Mengersen. "Statistical Machine Learning Methods and Remote Sensing for Sustainable Development Goals: A Review." Remote Sensing 10, no. 9 (2018): 1365. http://dx.doi.org/10.3390/rs10091365.

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Interest in statistical analysis of remote sensing data to produce measurements of environment, agriculture, and sustainable development is established and continues to increase, and this is leading to a growing interaction between the earth science and statistical domains. With this in mind, we reviewed the literature on statistical machine learning methods commonly applied to remote sensing data. We focus particularly on applications related to the United Nations World Bank Sustainable Development Goals, including agriculture (food security), forests (life on land), and water (water quality)

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Rickerl, D. H., J. H. Gritzner, P. K. Wieland, and G. Rial. "Geographic information systems for selection of CRP tracts to meet different management goals after contract expiration." American Journal of Alternative Agriculture 14, no. 2 (1999): 78–84. http://dx.doi.org/10.1017/s0889189300008110.

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AbstractLand use decisions, following expiration of Conservation Reserve Program (CRP) contracts, can be aided by Geographical Information System (GIS) analysis. We utilized a GIS to overlay maps of CRP tracts including wetlands, a surficial aquifer, lakes, rivers and other landscape features in a small watershed in eastern South Dakota. Attribute data including the percentage of highly erodible land, soil type, vegetation, and land capability class were also integrated with the maps. Lake County, South Dakota was used to test the GIS selection model. Criteria were developed for the selection

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Ahmed, M., Quazi Hassan, Masoud Abdollahi, and Anil Gupta. "Processing of Near Real Time Land Surface Temperature and Its Application in Forecasting Forest Fire Danger Conditions." Sensors 20, no. 4 (2020): 984. http://dx.doi.org/10.3390/s20040984.

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Near real time (NRT) remote sensing derived land surface temperature (Ts) data has an utmost importance in various applications of natural hazards and disasters. Space-based instrument MODIS (moderate resolution imaging spectroradiometer) acquired NRT data products of Ts are made available for the users by LANCE (Land, Atmosphere Near real-time Capability) for Earth Observing System (EOS) of NASA (National Aeronautics and Space Administration) free of cost. Such Ts products are swath data with 5 min temporal increments of satellite acquisition, and the average latency is 60-125 min to be avail

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Priya, Shiva, M. Alekha, U. Saikiran, T. Sivakrishnateja, and B. Kasikumar Reddy. "Real Time Automation of Agriculture for Detecting Plant Diseases." Journal of Computational and Theoretical Nanoscience 17, no. 4 (2020): 1638–41. http://dx.doi.org/10.1166/jctn.2020.8415.

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In agricultural land, there are lot of plants affected by number of diseases. Just like we can get sick, plants can get sick too and sometimes, the same type of things that make us sick can affect our green companions. A sick plant can even look under the weather. Its leaves may wilt or have holes in it. Early data on leaf well-being and sickness discovery can encourage the control of illnesses through legitimate administration techniques. If not treated, these plants may succumb to the disease and perish. Pathogens are any organism that makes plants ill, whether it be another animal such as a

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Dolejš, Martin, and Michal Forejt. "Franziscean Cadastre in Landscape Structure Research: A Systematic Review." Quaestiones Geographicae 38, no. 1 (2019): 131–44. http://dx.doi.org/10.2478/quageo-2019-0013.

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Abstract Historical and archival sources are of cardinal importance in landscape research addressing the processes and course of landscape changes in European regions. The Franziscean cadastre from the 19th century is among the most widely used historical sources in Central Europe. We identified 1440 records, finally providing 104 articles reporting the use of the Franziscean cadastre for in-depth analyses in order to identify (i) the practice of the cadastral data processing, (ii) purpose and spatial extent of the study, (iii) use of complementary sources and (iv) particular land use/land cov

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Wijaya, A., R. A. Sugardiman Budiharto, A. Tosiani, D. Murdiyarso, and L. V. Verchot. "Assessment of Large Scale Land Cover Change Classifications and Drivers of Deforestation in Indonesia." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7/W3 (April 29, 2015): 557–62. http://dx.doi.org/10.5194/isprsarchives-xl-7-w3-557-2015.

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Indonesia possesses the third largest tropical forests coverage following Brazilian Amazon and Congo Basin regions. This country, however, suffered from the highest deforestation rate surpassing deforestation in the Brazilian Amazon in 2012. National capacity for forest change assessment and monitoring has been well-established in Indonesia and the availability of national forest inventory data could largely assist the country to report their forest carbon stocks and change over more than two decades. This work focuses for refining forest cover change mapping and deforestation estimate at nati

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Guimarães, Nathalie, Luís Pádua, Pedro Marques, Nuno Silva, Emanuel Peres, and Joaquim J. Sousa. "Forestry Remote Sensing from Unmanned Aerial Vehicles: A Review Focusing on the Data, Processing and Potentialities." Remote Sensing 12, no. 6 (2020): 1046. http://dx.doi.org/10.3390/rs12061046.

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Currently, climate change poses a global threat, which may compromise the sustainability of agriculture, forestry and other land surface systems. In a changing world scenario, the economic importance of Remote Sensing (RS) to monitor forests and agricultural resources is imperative to the development of agroforestry systems. Traditional RS technologies encompass satellite and manned aircraft platforms. These platforms are continuously improving in terms of spatial, spectral, and temporal resolutions. The high spatial and temporal resolutions, flexibility and lower operational costs make Unmann

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