Determination of proportions and entropy of land use mixing in pixels of a multispectral satellite image

2002 ◽  
Author(s):  
S. Mathieu ◽  
M. Berthod ◽  
P. Leymarie
Keyword(s):  
Land Use ◽  
Satellite Image ◽  
Multispectral Satellite Image

TÉCNICAS DE GEOPROCESSAMENTO NA CARACTERIZAÇÃO DE APPS NUMA MICROBACIA, EM FUNÇÃO DA LEGISLAÇÃO AMBIENTAL

2017 ◽  
Vol 32 (2) ◽  
pp. 184
Author(s):  
Sergio Campos ◽  
Gabriel Rondina Pupo da Silveira ◽  
Yara Manfrin Garcia ◽  
Mariana De Campos ◽  
Marcelo Campos
Keyword(s):  
Land Use ◽  
Supervised Classification ◽  
Satellite Image ◽  
Geographical Information ◽  
Environmental Legislation ◽  
Environmental Preservation ◽  
Recovery Planning ◽  
Short Time

Esse trabalho objetivou a utilização de técnicas de geoprocessamento na discriminação de classes de uso e ocupação do solo em áreas de APP, permitindo a constatação de futuras intervenções antrópicas que auxiliarão em fiscalizações ambientais. A microbacia com 183,19ha, situa-se entre as coordenadas geográficas 22o 44’ 41” a 22o  45’ 41” de latitude S e 48o 24’ 13” a 48o 25’ 01” de longitude WGr.  A base cartográfica utilizadas foi a carta topográfica de Botucatu para o georreferenciamento da imagem de satélite de 2008. O SIG-IDRISI Selva foi utilizado na classificação supervisionada e a determinação dos mapas temáticos. O uso da terra mostrou que a pastagem ocupa a maior parte da área (85,61%), mostrando com isso a predominância da pecuária regional. A imagem de satélite e a utilização do SIG mostraram-se importantes ferramentas, fornecendo resultados confiáveis num pequeno intervalo de tempo. Os dados obtidos auxiliarão nos futuros planejamentos de recuperação da microbacia, possibilitando verificar que a área não vem sendo ambientalmente preservada, pois a mesma apresenta somente 14,38% de vegetação e água, sendo que o mínimo exigido pela legislação do Código Florestal Brasileiro vigente é de 20%.PALAVRAS-CHAVE: Legislação ambiental, sistema de informação geográfica, preservação ambiental. GEOPROCESSING TECHNIQUES IN THE CHARACTERIZATION OF APPS IN MICROBABY, IN THE FUNCTION OF ENVIRONMENTAL LEGISLATIONABSTRACT: This work aimed at the use of geoprocessing techniques in the discrimination of classes of land use and occupation in areas of PPA, allowing the confirmation of future anthropogenic interventions that will aid in environmental inspections. The microbasin with 183.19 ha lies between the geographic coordinates 22o 44' 41"at 22o 45' 41" latitude S and 48o 24' 13"at 48o 25' 01" WGr longitude. The cartographic base used was the Botucatu topographic chart for the georeferencing of the satellite image of 2008. The SIG-IDRISI Selva was used in the supervised classification and the determination of thematic maps. Land use showed that pasture occupies most of the area (85.61%), thus showing the predominance of regional livestock. Satellite imagery and the use of GIS have proved to be important tools, providing reliable results in a short time. The data obtained will aid in the future recovery planning of the microbasin, making it possible to verify that the area is not environmentally preserved, since it presents only 14.38% of vegetation and water, and the minimum required by the Brazilian Forestry Code is of 20%.KEYWORDS: Environmental legislation, geographical information system, environmental preservation. 

More accurate less meaningful? A critical physical geographer’s reflection on interpreting remote sensing land-use analyses

2021 ◽  
pp. 030913332199181
Author(s):  
Andreas Christian Braun
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Geographic Information Systems ◽  
Image Classification ◽  
Satellite Image ◽  
Physical Geography ◽  
Data Availability ◽  
Scientific Results ◽  
Normative Considerations

Land-use and land-cover analyses based on satellite image classification are used in most, if not all, sub-disciplines of physical geography. Data availability and increasingly simple image classification techniques – nowadays, even implemented in simple geographic information systems – increase the use of such analyses. To assess the quality of such land-use analyses, accuracy metrics are applied. The results are considered to have sufficient quality, exceeding thresholds published in the literature. A typical practice in many studies is to confuse accuracy in remote sensing with quality, as required by physical geography. However, notions such as quality are subject to normative considerations and performative practices, which differ between scientific domains. Recent calls for critical physical geography have stressed that scientific results cannot be understood separately from the values and practices underlying them. This article critically discusses the specific understanding of quality in remote sensing, outlining norms and practices shaping it and their relation to physical geography. It points out that, as a seeming paradox, results considered more accurate in remote sensing terms can be less informative – or meaningful – in geographical terms. Finally, a roadmap of how to apply remote sensing land-use analyses more constructively in physical geography is proposed.

scholarly journals Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series

2021 ◽  
Vol 13 (5) ◽  
pp. 974
Author(s):  
Lorena Alves Santos ◽  
Karine Ferreira ◽  
Michelle Picoli ◽  
Gilberto Camara ◽  
Raul Zurita-Milla ◽  
...  
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Time Series ◽  
Satellite Image ◽  
Spatiotemporal Patterns ◽  
Supervised Machine Learning ◽  
Learning Methods ◽  
Self Organizing Maps ◽  
Machine Learning Methods ◽  
Land Use And Cover

The use of satellite image time series analysis and machine learning methods brings new opportunities and challenges for land use and cover changes (LUCC) mapping over large areas. One of these challenges is the need for samples that properly represent the high variability of land used and cover classes over large areas to train supervised machine learning methods and to produce accurate LUCC maps. This paper addresses this challenge and presents a method to identify spatiotemporal patterns in land use and cover samples to infer subclasses through the phenological and spectral information provided by satellite image time series. The proposed method uses self-organizing maps (SOMs) to reduce the data dimensionality creating primary clusters. From these primary clusters, it uses hierarchical clustering to create subclusters that recognize intra-class variability intrinsic to different regions and periods, mainly in large areas and multiple years. To show how the method works, we use MODIS image time series associated to samples of cropland and pasture classes over the Cerrado biome in Brazil. The results prove that the proposed method is suitable for identifying spatiotemporal patterns in land use and cover samples that can be used to infer subclasses, mainly for crop-types.

Making Of Classification Land Cover Through Result Of Visual Data Satellite Image Analysis Landsat 8 OLI : Case Study in Tapaktuan District, South Aceh District

2021 ◽  
Vol 6 (1) ◽  
pp. 59-65
Author(s):  
Safridatul Audah ◽  
Muharratul Mina Rizky ◽  
Lindawati
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Image Classification ◽  
Satellite Image ◽  
Landsat 8 ◽  
Landsat 8 Oli ◽  
Sensing Technology ◽  
Open Land ◽  
Cover Class ◽  
Satellite Image Analysis

Tapaktuan is the capital and administrative center of South Aceh Regency, which is a sub-district level city area known as Naga City. Tapaktuan is designated as a sub-district to be used for the expansion of the capital's land. Consideration of land suitability is needed so that the development of settlements in Tapaktuan District is directed. The purpose of this study is to determine the level of land use change from 2014 to 2018 by using remote sensing technology in the form of Landsat-8 OLI satellite data through image classification methods by determining the training area of the image which then automatically categorizes all pixels in the image into land cover class. The results obtained are the results of the two image classification tests stating the accuracy of the interpretation of more than 80% and the results of the classification of land cover divided into seven forms of land use, namely plantations, forests, settlements, open land, and clouds. From these classes, the area of land cover change in Tapaktuan is increasing in size from year to year.

Pemanfaatan Peta Tematik dalam Perencanaan Pembangunan Sarana dan Prasarana Pendukung Pariwisata Daerah di Kabupaten Pangandaran

Tunas Agraria ◽  
2020 ◽  
Vol 3 (2) ◽  
pp. 1-19
Author(s):  
Rizka Fakhrizatullah ◽  
Rochmat Martanto ◽  
Yendi Sufyandi
Keyword(s):  
Land Use ◽  
Data Collection ◽  
Population Density ◽  
Literature Review ◽  
Qualitative Method ◽  
Thematic Maps ◽  
Coastal Tourism ◽  
Factors Affecting ◽  
Regional Autonomy

Abstract: Pangandaran is a district with a coastline of 91 Km, so this district has the potential for coastal tourism that needs to be developed. As a new regency of regional autonomy, demands to carry out construction of facilities and infrastructure to support tourism need to be increased. This study aims to determine the distribution of facilities and infrastructure that need to be developed and to know the factors that influence the determination of the construction of facilities and infrastructure. This research uses qualitative method, data collection is done through literature review and interviews. The results of the study indicate that the factors affecting the distribution of infrastructure include land use, population density, tourism objects, land slope and disaster vulnerability. The analysis shows that the distribution of villages suitable for the development of infrastructure includes the villages of Wonoharjo, Babadan, Pananjang and Pangandaran Village.Keyword: tourism, facilities and infrastructure, thematic maps. Intisari: Pangandaran merupakan kabupaten dengan garis pantai sepanjang 91 Km, sehingga kabupaten ini memiliki potensi pariwisata pantai yang perlu dikembangkan. Sebagai Kabupaten yang baru melakukan otonomi daerah, tuntutan untuk melaksanakan pembangunan sarana dan prasarana guna mendukung pariwisata perlu ditingkatkan. Kajian ini bertujuan untuk untuk mengetahui sebaran sarana dan prasarana yang perlu dikembangkan serta mengetahui faktor-faktor yang mempengaruhi penentuan pembangunan sarana dan prasarana. Penelitian ini menggunakan metode kualitatif, pengumpulan data dilakukan melalui kajian pustaka dan wawancara. Hasil kajian menunjukkan bahwa faktor-faktor yang mempengaruhi sebaran sarana prasarana meliputi penggunaan lahan, kepadatan penduduk, obyek wisata, kemiringan lahan dan kerawanan bencana. Dari hasil analisis menunjukkan bahwa sebaran desa yang sesuai untuk pengembangan sarana prasarana meliputi Desa Wonoharjo, Babadan, Pananjang dan Desa Pangandaran.Kata kunci: pariwisata, sarana dan prasarana, peta tematik.

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