Identification of Suitable Aquaculture Sites Using Large-Scale Land Use and Land Cover Maps Factoring the Prevailing Regulatory Frameworks: A Case Study from India

2020 ◽  
Author(s):  
Arur Anand ◽  
P. Krishnan ◽  
Arun S. Suryavanshi ◽  
S. B. Choudhury ◽  
G. Kantharajan ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Large Scale ◽  
Regulatory Frameworks ◽  
Large Scale Land ◽  
Land Cover Maps

scholarly journals LAND USE AND LAND COVER MAPPING IN DETAILED SCALE: A CASE STUDY IN SANTA ROSA DE LIMA-SC

2018 ◽  
Vol 24 (2) ◽  
pp. 217-234 ◽  
Author(s):  
Rodrigo de Campos Macedo ◽  
Abdon Luiz Schmitt Schmitt Filho ◽  
Joshua C. Farley ◽  
Alfredo Celso Fantini ◽  
Ademir Antonio Cazella ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatial Resolution ◽  
Temporal Resolution ◽  
Large Scale ◽  
Aerial Survey ◽  
Aerial Photographs ◽  
High Temporal Resolution ◽  
Land Cover Mapping

Abstract: It is challenging to reconcile large scale data with the dynamic characteristics present in land use. Such dynamism requires data with a high repetition of sampling. An alternative is the integration of data of high spatial resolution and low temporal resolution, with that of high temporal resolution and low spatial resolution. The aim addressed in this article is related to the integration of aerial photographs and temporal series for land use and land cover mapping in high detail scale. We conducted a case study in Santa Rosa de Lima-SC. The main data used was the aerial survey that overlaid the state of Santa Catarina, executed in 2010/2011. The interpretation key included typical elements of photointerpretation (color, texture, size, shape), aiming to classify the land use and land cover classes. The mapping evaluation resulted in 75.6% global accuracy, ranging from 54% (Grassland and Wetlands) to 96% (Water Bodies and Rocks). Such results are considered satisfactory. The integration of high-resolution images with high temporal resolution data has enabled the discrimination between classes that present great difficulties of separability. Such discrimination is essential in the territorial management processes of Encosta da Serra and the municipality of Santa Rosa de Lima.

scholarly journals Granica państwa a spójność danych dla potrzeb analiz hydrologicznych. Studium przypadku dla zlewni Wiaru na pograniczu polsko-ukraińskim = A state border and the integrity of data for hydrological analysis. A case study of the River Wiar catchment on the Poland-Ukraine borderland

2020 ◽  
Vol 92 (1) ◽  
pp. 69-92
Author(s):  
Rafał Kroczak ◽  
Tomasz Bryndal ◽  
Szymon Biały ◽  
Olga Pylypovych ◽  
Yurij Andreychuk ◽  
...  
Keyword(s):  
Land Use ◽  
Spatial Distribution ◽  
Land Cover ◽  
Large Scale ◽  
Satellite Images ◽  
Chemical Components ◽  
Data Sets ◽  
Eu Directive ◽  
Land Cover Data

Hydrological investigations require the development of a geodatabase allowing for the calculation of physiographic catchment parameters, as well as the analysis of amounts of water resources and changes therein. Such a geodatabase usually consists of meteorological, hydrological and cartographic data. The present study offers a review of datasets that may be used for geodatabase development in the interests of hydrological research, in catchments located in the Polish-Ukrainian borderland. The catchment of the Wiar River – selected to serve as a case study – is in fact divided by the state border into two equal sub-catchments (395.5 km2 in Poland and 398.9 km2 in Ukraine).The results reveal disparities in the spatial distribution of stream and meteorological gauges. For the Polish part of the catchment datasets include many parameters (in accordance with EU Directive and Regulations) and the results from monitoring are available online as yearly reports. For the Ukrainian part, only chemical components are monitored, and these data are not made available publicly. Consistent data sets such as DEM can be obtained from globally available ASTER and SRTM models. Datasets, such as LiDAR, which are important for medium and large-scale analyses allowing for the development of high-resolution DEMs, do not exist. Use of TanDEM-X data is restricted for the Ukrainian territory. However, comparison between the SRTM and LiDAR models (for the Polish part) revealed that the SRTM model may be optimised to serve the whole area. Land-use and land-cover data (LULC) are important in many hydrological analyses. the authors propose using satellite images in the development of a comparable layer describing land cover of the whole catchment.

scholarly journals A new European land systems representation accounting for landscape characteristics

2021 ◽  
Author(s):  
Yue Dou ◽  
Francesca Cosentino ◽  
Ziga Malek ◽  
Luigi Maiorano ◽  
Wilfried Thuiller ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Cover ◽  
Large Scale ◽  
Bird Species ◽  
Data Availability ◽  
Landscape Characteristics ◽  
Continental Scale ◽  
Land Systems ◽  
Land Cover Maps

Abstract Context While land use change is the main driver of biodiversity loss, most biodiversity assessments either ignore it or use a simple land cover representation. Land cover representations lack the representation of land use and landscape characteristics relevant to biodiversity modeling. Objectives We developed a comprehensive and high-resolution representation of European land systems on a 1-km2 grid integrating important land use and landscape characteristics. Methods Combining the recent data on land cover and land use intensities, we applied an expert-based hierarchical classification approach and identified land systems that are common in Europe and meaningful for studying biodiversity. We tested the benefits of using this map as compared to land cover information to predict the distribution of bird species having different vulnerability to landscape and land use change. Results Next to landscapes dominated by one land cover, mosaic landscapes cover 14.5% of European terrestrial surface. When using the land system map, species distribution models demonstrate substantially higher predictive ability (up to 19% higher) as compared to models based on land cover maps. Our map consistently contributes more to the spatial distribution of the tested species than the use of land cover data (3.9 to 39.1% higher). Conclusions A land systems classification including essential aspects of landscape and land management into a consistent classification can improve upon traditional land cover maps in large-scale biodiversity assessment. The classification balances data availability at continental scale with vital information needs for various ecological studies.

Impact of Urbanization on Land Use/Land Cover — Case Study: The Western Part of Khartoum State, Sudan

2017 ◽  
Vol 04 (03) ◽  
pp. 272-277
Author(s):  
Tawhida A. Yousif ◽  
Nancy I. Abdalla ◽  
El-Mugheira M. Ibrahim ◽  
Afraa M. E. Adam
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Use Land Cover ◽  
Impact Of Urbanization
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