GIS for land evaluation of watershed aquaculture development in Thainguyen, Vietnam.

2020 ◽  
Author(s):  
Dao Huy Giap
Keyword(s):  
Land Use ◽  
Environmental Data ◽  
Land Evaluation ◽  
Geographical Information ◽  
Land Area ◽  
Soil Thickness ◽  
Pond Aquaculture ◽  
Strategic Plans ◽  
Aquaculture Development ◽  
Socio Economic Factors

Abstract This study was conducted in the Daitu district of Thainguyen, Vietnam during November 2001 to January 2003 to identify and estimate potential areas for aquaculture development in a watershed area by integrating socio-economic and environmental data into a geographical information system (GIS) database. Fourteen base layers were used for land evaluation and grouped into four main land use requirements for aquaculture namely: (1) potential for pond construction (slope, land use type, soil thickness and elevation); (2) soil quality (soil type, texture and pH); (3) water availability (distance to water, water sources and precipitation); and (4) geographical and socio-economic factors (population density, distances to roads, local markets and hatcheries). The study demonstrated the usefulness of GIS modelling to select suitable sites for the development of watershed ponds, and the importance of using the data as a tool for planners to develop strategic plans for aquaculture development. The study indicated that about 4.7% (2,725 ha) of the total land area of 57,618 ha in Daitu district was suitable for watershed pond aquaculture, compared to the existing 404 ha of watershed ponds.

Vegetação, Paisagem e o Planejamento do Uso da Terra

GEOgraphia ◽  
2009 ◽  
Vol 2 (4) ◽  
pp. 103
Author(s):  
Claudio Belmonte de Athayde Bohrer
Keyword(s):  
Land Use ◽  
Tropical Forest ◽  
Land Use Planning ◽  
Geographical Information Systems ◽  
Planning Process ◽  
Environmental Data ◽  
Land Evaluation ◽  
Geographical Information ◽  
Significant Advance ◽  
Forest Landscape

Resumo O levantamento e mapeamento da vegetação vem tendo uma importância crescente no plane-jamento do uso da terra em regiões florestais tropicais. Os mapas de vegetação podem ser utilizados indi-vidualmente ou de forma integrada com outros mapas temáticos, para a caracterização e análise da paisa-gem, a qual serve de orientação no processo de planejamento do uso da terra. O uso de mapas ecológicos ou da paisagem contendo informações combinadas de diferentes atributos da paisagem, é um avanço sig-nificativo na avaliação das terras. O enfoque holístico possibilita uma melhor compreensão das inter-rela-ções entre a vegetação e os outros atributos, melhorando significativamente as análises e avaliações resul-tantes . O enfoque paisagístico pode auxiliar ainda no próprio levantamento da vegetação, como o mapea-mento dos diversos tipos de comunidades ou formações florestais de acordo com as características domi-nantes da ambiente físico, como o relevo. Sistemas de Informações Geográficas (SIG) vêm sendo cada vez mais utilizados como banco de dados ambientais, onde dados relevantes podem ser armazenados, manipu-lados, atualizados e combinados em diversas análises e avaliações de diferentes cenários de evolução dinâ-mica natural e antrópica da paisagem florestal tropical. Palavras-Chave: Planejamento do Uso da Terra, Floresta Tropical, Análise da Paisagem, SIG.Abstract The vegetation survey and mapping has an increasingly important role in the land use planning in tropical forest regions. Vegetation maps can be used individually or integrated with other the-matic maps for the characterisation and analysis of the landscape, which will direct the land use planning process. The use of landscape ecological maps, which combine information from different land attributes is a significant advance on land evaluation and appraisal. The holistic approach allows a better understan-ding of the relationships between vegetation and other land attributes, which can improve considerably the results of the analyses and evaluation. The landscape approach can also improve the vegetation or forest survey, helping to map the different forest types according to the dominant aspects of the physical environment, such as relief. Geographical information systems (GIS) are increasingly used as a spatial environmental data base, where relevant data can be stored, handled, updated and combined in the analy-sis and evaluation of alternative scenarios of the natural and anthropogenic tropical forest landscape dynamics. Keywords: Land Use Planning, Tropical Forest, Landscape Analysis, GIS.The vegetation survey and mapping has an increasingly important role in the land use planning in tropical forest regions. Vegetation maps can be used individually or integrated with other the-matic maps for the characterisation and analysis of the landscape, which will direct the land use planning process. The use of landscape ecological maps, which combine information from different land attributes is a significant advance on land evaluation and appraisal. The holistic approach allows a better understan-ding of the relationships between vegetation and other land attributes, which can improve considerably the results of the analyses and evaluation. The landscape approach can also improve the vegetation or forest survey, helping to map the different forest types according to the dominant aspects of the physical environment, such as relief. Geographical information systems (GIS) are increasingly used as a spatial environmental data base, where relevant data can be stored, handled, updated and combined in the analy-sis and evaluation of alternative scenarios of the natural and anthropogenic tropical forest landscape dynamics. Keywords: Land Use Planning, Tropical Forest, Landscape Analysis, GIS.

scholarly journals Vegetação, Paisagem e o Planejamento do Uso da Terra

GEOgraphia ◽  
2009 ◽  
Vol 2 (4) ◽  
pp. 103
Author(s):  
Claudio Belmonte de Athayde Bohrer
Keyword(s):  
Land Use ◽  
Tropical Forest ◽  
Land Use Planning ◽  
Geographical Information Systems ◽  
Planning Process ◽  
Environmental Data ◽  
Land Evaluation ◽  
Geographical Information ◽  
Significant Advance ◽  
Forest Landscape

Resumo O levantamento e mapeamento da vegetação vem tendo uma importância crescente no plane-jamento do uso da terra em regiões florestais tropicais. Os mapas de vegetação podem ser utilizados indi-vidualmente ou de forma integrada com outros mapas temáticos, para a caracterização e análise da paisa-gem, a qual serve de orientação no processo de planejamento do uso da terra. O uso de mapas ecológicos ou da paisagem contendo informações combinadas de diferentes atributos da paisagem, é um avanço sig-nificativo na avaliação das terras. O enfoque holístico possibilita uma melhor compreensão das inter-rela-ções entre a vegetação e os outros atributos, melhorando significativamente as análises e avaliações resul-tantes . O enfoque paisagístico pode auxiliar ainda no próprio levantamento da vegetação, como o mapea-mento dos diversos tipos de comunidades ou formações florestais de acordo com as características domi-nantes da ambiente físico, como o relevo. Sistemas de Informações Geográficas (SIG) vêm sendo cada vez mais utilizados como banco de dados ambientais, onde dados relevantes podem ser armazenados, manipu-lados, atualizados e combinados em diversas análises e avaliações de diferentes cenários de evolução dinâ-mica natural e antrópica da paisagem florestal tropical. Palavras-Chave: Planejamento do Uso da Terra, Floresta Tropical, Análise da Paisagem, SIG.Abstract The vegetation survey and mapping has an increasingly important role in the land use planning in tropical forest regions. Vegetation maps can be used individually or integrated with other the-matic maps for the characterisation and analysis of the landscape, which will direct the land use planning process. The use of landscape ecological maps, which combine information from different land attributes is a significant advance on land evaluation and appraisal. The holistic approach allows a better understan-ding of the relationships between vegetation and other land attributes, which can improve considerably the results of the analyses and evaluation. The landscape approach can also improve the vegetation or forest survey, helping to map the different forest types according to the dominant aspects of the physical environment, such as relief. Geographical information systems (GIS) are increasingly used as a spatial environmental data base, where relevant data can be stored, handled, updated and combined in the analy-sis and evaluation of alternative scenarios of the natural and anthropogenic tropical forest landscape dynamics. Keywords: Land Use Planning, Tropical Forest, Landscape Analysis, GIS.The vegetation survey and mapping has an increasingly important role in the land use planning in tropical forest regions. Vegetation maps can be used individually or integrated with other the-matic maps for the characterisation and analysis of the landscape, which will direct the land use planning process. The use of landscape ecological maps, which combine information from different land attributes is a significant advance on land evaluation and appraisal. The holistic approach allows a better understan-ding of the relationships between vegetation and other land attributes, which can improve considerably the results of the analyses and evaluation. The landscape approach can also improve the vegetation or forest survey, helping to map the different forest types according to the dominant aspects of the physical environment, such as relief. Geographical information systems (GIS) are increasingly used as a spatial environmental data base, where relevant data can be stored, handled, updated and combined in the analy-sis and evaluation of alternative scenarios of the natural and anthropogenic tropical forest landscape dynamics. Keywords: Land Use Planning, Tropical Forest, Landscape Analysis, GIS.

Analysis of the level of urban residential land based on land cover/land use

2020 ◽  
Author(s):  
kang fengguang
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Residential Area ◽  
Evaluation Index System ◽  
Geographical Information ◽  
Housing Construction ◽  
Land Area ◽  
Residential Land ◽  
Information Monitoring ◽  
Per Capita

<p>The level of urban residential land has a great relationship with the composition of urban residential land and the urban residential area of human settlements. Urban residential land includes residential land, road land, ancillary facilities and public green land. Geographical information monitoring land cover/land use includes cultivated land, garden land, forest land, grassland, housing construction area, roads, structures, artificial digging land, desert and bare land, and water. The Land cover/land use data and resident population spatialization data based on maps of housing construction areas are this article’s data sources. This article chose urban residential land types and per capita residential land area as an evaluation index system, establish the relationship between residential land indicators and geographical information monitoring indicators, calculate the area of various residential land areas and per capita land area, and follow the "Urban Residential Area Planning and Design Standards", a statistical analysis of the land use of residents in the five-, ten-, and fifteen-minute living quarters. Select a test area from each of the megacities, megacities, large cities, medium cities, and small cities, and use the statistical results to determine the level of urban residential land Perform a comparative evaluation.</p>

scholarly journals SATELLITE DATA BASED LANDUSE AND LANDCOVER CHANGE ANALYSIS IN SOUTHEASTERN PART OF PANCHKULA CITY, HARYANA

2020 ◽  
Vol 11 (2) ◽  
Author(s):  
Anup Kumar ◽  
Shishupal Singh ◽  
V.S. Arya
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Data ◽  
Earth Satellite ◽  
Google Earth ◽  
Geographical Information ◽  
Human Beings ◽  
Land Area ◽  
Change Analysis ◽  
Southeastern Part

Landuse refers to the use of land by human beings while the land cover refers to the natural cover on land. Landuse and land cover mapping is important for better developmental planning purpose. In the present time remote sensing satellite data, geographical information system (GIS) and global positioning system (GPS) are widely used in mapping of land use and land cover. In the present study landuse and land cover change analysis of southeastern part of Panchkula city have been done using Google Earth satellite data of 2002 and 2018. Satellite data downloaded from Google Earth and geo-referenced in ArcGIS 10.4 software. Landuse and landcover classes had been interpreted and field visit was done at selected location to check the interpreted data. Final maps were prepared and area of landuse and land cover classes were calculated. The study shows that during the year 2002 to 2018 built-up land area increased 95.01Hect, agriculture land area increased 1.24Hect., river course area decreased 20.35 Hect., vacant land area decreased 119.43Hect., park area increased 14.64 Hect., open scrub area decreased 7.82 Hect., road area increased 7.21 Hect.,water body area increased 0.02 Hect. and forest area increased 30.48 Hect. The study can be used for monitoring land use and land cover for planning purpose in the study area.

scholarly journals ASSESSMENT OF COMMODITIES AREA GAMBIER (Uncaria gambir Roxb.) IN PAKPAK BHARAT SCALE 1 : 50.000

2015 ◽  
Vol 2 (2) ◽  
Author(s):  
Lukas Sebayang
Keyword(s):  
Evaluation System ◽  
Standard Procedure ◽  
Land Evaluation ◽  
Geographical Information ◽  
Spatial Form ◽  
Land Area ◽  
Dry Land ◽  
Evaluation Result ◽  
Market Opportunities ◽  
Cultivated Plant

Gambier (Uncaria gambier Roxb.) is a cultivated plant regeneration in Pakpak Bharat. Gambir extract benefits as well as the pharmaceutical industry and traditional is quite interested so that market opportunities gambier quite open for the domestic market and abroad. Land potential and development opportunities gambir high enough, it is in the use of plantation area of 1,224 ha and optimization of dry land area of 16 049, 6 hectares (Pakpak Bharat in Figures, 2013). Gambier development in Pakpak Bharat tends to increase, so it is necessary to study the suitability of land to see the direction of the development of the appropriate location. This assessment was conducted by using ALES (Automated Land Evaluation System). SDPLE (Standard Procedure for Land Evaluation) data was imported to ALES program. Land evaluation result was show in spatial form. This form made by imported tabulation data to GIS (Geographical Information System) form. Suitability land maps (scale 1 : 250.000) present based on each commodities by ArcView program.

scholarly journals Analysis of Spatiotemporal Land Use and Land Cover Changes using Remote Sensing and GIS: A Review

2018 ◽  
Vol 7 (4.34) ◽  
pp. 159
Author(s):  
Kabir Abdulkadir Gidado ◽  
Mohd Khairul Amri Kamarudin ◽  
Nik Ahmad Firdausaq ◽  
Aliyu Muhammad Nalado ◽  
Ahmad Shakir Mohd Saudi ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Land Cover ◽  
Supervised Classification ◽  
Agricultural Land ◽  
Accuracy Assessment ◽  
Geographical Information ◽  
Lulc Changes ◽  
Detection Analysis ◽  
Socio Economic Factors

The land-use and land-cover (LULC) pattern of an area is an outcome of natural and socio-economic factors and their use spatially by man; this LULC varies from the forest, water body, agricultural land and so on. Remote Sensing (RS) and Geographical Information System (GIS) studies have predominantly focused on providing the technical knowledge of, where, and the type of LULC change that has occurred and its impacts on man and the environment. Knowledge about LULC changes is essential for understanding the relationships and interfaces between humans and the natural environment. The purpose of this article is to review the previous studies of the spatiotemporal LULC changes. However, thirty (30) articles were reviewed from 2011 to 2017. However, these articles studied the LULC, classification, changes and change detection analysis, using different methods and software of RS and G.I.S. The finding shows that these articles have overall accuracy assessment ranges from 75% to 95% validations. Also, supervised classification in Maximum Likelihood Algorithm method was mostly employed for the LULC classification. Moreover, these reviewed articles confirmed that LULC changes are imminent as a result of both natural and human factors which lead to increase and decrease of one LULC cover to another. Therefore proper monitoring of LULC changes when applied help the relevant government bodies, agencies and environmental managers utilise the environment to the fullest.  

scholarly journals GI-Technology

2011 ◽  
pp. 118-137
Author(s):  
Anja Wijffels ◽  
Jos Van Orshoven ◽  
Bart Muys ◽  
Dirk Cattrysse
Keyword(s):  
Land Use ◽  
Land Use Planning ◽  
Geographical Information Systems ◽  
Land Evaluation ◽  
Geographical Information ◽  
Temporal Database ◽  
Model Base ◽  
Land Use Allocation ◽  
Spatio Temporal ◽  
Automated Support

To deal with the complexity of land use allocation in a spatio-temporally variable context, a generic framework for automated support to multi-objective land use planning is proposed. The framework is rooted in the discipline of land evaluation which is considered a go-between between land resources survey and land use planning. It draws on own experiences and on lessons learnt from literature. It consists of five integrated and interoperable components. The core three ones, the spatio-temporal database, the engine for data query, transformation and analysis and the user interface are adopted from geographical information systems (GIS). A ‘knowledge and model base’ component adds capability for assessing land performance over time. Finally, a multicriteria decision analysis component allows for identifying optimal land units and optimal land use options. The framework’s applicability and the limitations of geographical information technology (GI-Technology) to generate spatio-temporal decision support systems (stDSS) are illustrated with two cases: one in data rich and one in data poor conditions.

scholarly journals Optimized Land Use through Integrated Land Suitability and GIS Approach in West El-Minia Governorate, Upper Egypt

2021 ◽  
Vol 13 (21) ◽  
pp. 12236
Author(s):  
Yasser M. Zakarya ◽  
Mohamed M. Metwaly ◽  
Mohamed A. E. AbdelRahman ◽  
Mohamed R. Metwalli ◽  
Georgios Koubouris
Keyword(s):  
Land Use ◽  
Sugar Beet ◽  
Crop Rotation ◽  
Land Evaluation ◽  
Geographical Information ◽  
Soil Parameters ◽  
Green Pepper ◽  
Soil Suitability ◽  
Soil Sustainability ◽  
Total Study Area

Land evaluation is imperative for its efficient use in agriculture. Therefore, this study aimed at assessing the suitability of a region in West El-Minia for cultivating some of the major crops using the geographical information system (GIS). The results focus on allocating space for cultivating sugar beet and utilizing the free period of sugar beet in other crops. This exploitation helps to maintain the quality of the land and increase its fertility by using crop rotation with integrated agricultural management. A machine learning technique was implemented using the random forest algorithm (RF) to predict soil suitability classes for sugar beet using geomorphology, terrain attribute and remote sensing data. Fifteen major crops were evaluated using a suitability multicriteria approach in GIS environment for crop rotation decisions. Soil parameters were determined (soil depth, pH, texture, CaCO3, drainage, ECe, and slope) to characterize the land units for soil suitability. Soils of the area were found to be Entisols; Typic Torrifluvents, Typic Torripsamments and Typic Torriorthents and Aridsols; Typic Haplocacids, Calcic Haplosalids and Sodic Haplocalcids. Overall, the studied area was classified into four suitability classes: high “S1”, moderate “S2”, marginal “S3”, and not suitable “N”. The area of each suitability class changed depending on the crop tested. The highest two crops that occupied S1 class were barley with 471.5 ha (representing 6.8% of the total study area) and alfalfa with 157.4 ha (2.3%). In addition, barley, sugar beet, and sorghum occupied the highest areas in S2 class with 6415.3 ha (92.5%), 6111.3 ha (88.11%) and 6111.3 ha (88.1%), respectively. Regarding the S3 class, three different crops (sesame, green pepper, and maize) were the most highly represented by 6151.8 ha (88.7%), 6126.3 ha (88.3%), and 6116.7 ha (88.2%), respectively. In the end, potato and beans occupied the highest areas in N class with 6916.9 ha (99.7%) and 6853.5 ha (98.8%), respectively. The results revealed that the integration of GIS and soil suitability system consists of an appropriate approach for the evaluation of suitable crop rotations for optimized land use planning and to prevent soil degradation. The study recommends using crop rotation, as it contributes to soil sustainability and the control of plant pests and diseases, where the succession of agricultural crops on a scientific basis aims at maintaining the balance of nutrients and fertilizers in the soil.

scholarly journals Significance of drones in monitoring of agricultural lands of Uzbekistan

2021 ◽  
Vol 258 ◽  
pp. 03013
Author(s):  
Aziz Inamov ◽  
Sanjarbek Safayev ◽  
Shakhnoza Mukhammadayubova
Keyword(s):  
Land Use ◽  
Economic Efficiency ◽  
Social Economic ◽  
Land Evaluation ◽  
Economic Data ◽  
Monitoring Methods ◽  
Land Area ◽  
Record Keeping ◽  
Land Inventory ◽  
Efficiency And Productivity

Software of Geographic Information Systems (GIS) has been widely used for land evaluation and detection of changes in land area. Using GIS it is possible now to combine different environmental, social, economic data, which in turn leads to lower costs and allows collecting and processing a variety of data with the exact calculation of the required results necessary for land use. Therefore, research has been focused on remotely controlled devices. The research has been conducted to simplify the land record keeping (land inventory) system and to improve land monitoring methods using remote-controlled devices. As a result, economic efficiency and productivity have been increased.

scholarly journals Modelling soil organic carbon stocks in global change scenarios: a CarboSOIL application

2013 ◽  
Vol 10 (12) ◽  
pp. 8253-8268 ◽  
Author(s):  
M. Muñoz-Rojas ◽  
A. Jordán ◽  
L. M. Zavala ◽  
F. A. González-Peñaloza ◽  
D. De la Rosa ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Land Evaluation ◽  
Geographical Information ◽  
Soil Types ◽  
Land Uses ◽  
Mediterranean Regions ◽  
Soc Stocks

Abstract. Global climate change, as a consequence of the increasing levels of atmospheric CO2 concentration, may significantly affect both soil organic C storage and soil capacity for C sequestration. CarboSOIL is an empirical model based on regression techniques and developed as a geographical information system tool to predict soil organic carbon (SOC) contents at different depths. This model is a new component of the agro-ecological decision support system for land evaluation MicroLEIS, which assists decision-makers in facing specific agro-ecological problems, particularly in Mediterranean regions. In this study, the CarboSOIL model was used to study the effects of climate change on SOC dynamics in a Mediterranean region (Andalusia, S Spain). Different downscaled climate models were applied based on BCCR-BCM2, CNRMCM3, and ECHAM5 and driven by SRES scenarios (A1B, A2 and B2). Output data were linked to spatial data sets (soil and land use) to quantify SOC stocks. The CarboSOIL model has proved its ability to predict the short-, medium- and long-term trends (2040s, 2070s and 2100s) of SOC dynamics and sequestration under projected future scenarios of climate change. Results have shown an overall trend towards decreasing of SOC stocks in the upper soil sections (0–25 cm and 25–50 cm) for most soil types and land uses, but predicted SOC stocks tend to increase in the deeper soil section (0–75 cm). Soil types as Arenosols, Planosols and Solonchaks and land uses as "permanent crops" and "open spaces with little or no vegetation" would be severely affected by climate change with large decreases of SOC stocks, in particular under the medium–high emission scenario A2 by 2100. The information developed in this study might support decision-making in land management and climate adaptation strategies in Mediterranean regions, and the methodology could be applied to other Mediterranean areas with available soil, land use and climate data.

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