Wildlife habitat suitability mapping using remote sensing and geographical information science

This paper looked at practical ways in which pasture and range management (P&RM) can benefit from application of spatial technologies; namely Satellite Remote Sensing, Global Positioning System and Geographical Information Science. Brief mention of these spatial technologies’ components and ways of their integrations (linear, interactive, hierarchical and complex models) were discussed with specific reference to P&RM. The paper also dwells on salient principles of applied remote sensing and geospatial technics in P&RM using examples and case studies revolving around rangeland management, spatial decision support and resource conservation. Specifically, the relevance of hyper spectral imageries and vegetation indices in cattle population and range roaming determination, grazing land and paddock site-specific management were demonstrated. It is hoped that the review will create awareness for the inclusion and use of remote sensing and geospatial technics in many areas of livestock management in Nigeria.

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Wildlife Habitat Evaluation

Environmental Information Systems ◽

10.4018/978-1-5225-7033-2.ch007 ◽

2019 ◽

pp. 143-148

Author(s):

Peeyush Gupta ◽

Swati Goyal

Keyword(s):

Remote Sensing ◽

Protected Areas ◽

Natural Resource ◽

Habitat Suitability ◽

Wildlife Habitat ◽

Suitability Analysis ◽

Habitat Alterations ◽

Complex Interactions ◽

Basic Concepts ◽

Management Recommendations

Before an individual can evaluate wildlife habitat and make management recommendations, some basic concepts about habitat and its relationships to different wildlife species should be understood. In this chapter, some of the basic concepts will be described; mainly analyzing of habitat alterations, landscape analysis, networking and creation of corridor between protected areas, wildlife habitat suitability analysis using Remote Sensing & GIS. Since most of the contest will be based on these concepts. Like other natural resource fields, wildlife management is both an art and science that deals with complex interactions in the environment. This means that management includes art or judgment based on experience as well as sound factual information based on scientific studies.

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Wildlife Habitat Evaluation

Advances in Geospatial Technologies - Remote Sensing Techniques and GIS Applications in Earth and Environmental Studies ◽

10.4018/978-1-5225-1814-3.ch013 ◽

2017 ◽

pp. 258-264

Author(s):

Peeyush Gupta ◽

Swati Goyal

Keyword(s):

Remote Sensing ◽

Protected Areas ◽

Natural Resource ◽

Habitat Suitability ◽

Wildlife Habitat ◽

Suitability Analysis ◽

Habitat Alterations ◽

Complex Interactions ◽

Basic Concepts ◽

Management Recommendations

Before an individual can evaluate wildlife habitat and make management recommendations, some basic concepts about habitat and its relationships to different wildlife species should be understood. In this chapter, some of the basic concepts will be described; mainly analyzing of habitat alterations, landscape analysis, networking and creation of corridor between protected areas, wildlife habitat suitability analysis using Remote Sensing & GIS. Since most of the contest will be based on these concepts. Like other natural resource fields, wildlife management is both an art and science that deals with complex interactions in the environment. This means that management includes art or judgment based on experience as well as sound factual information based on scientific studies.

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The Development Process and Prospects of Mine Surveying in China

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.71-78.1311 ◽

2011 ◽

Vol 71-78 ◽

pp. 1311-1317 ◽

Cited By ~ 1

Author(s):

Gang Wang ◽

Guang Li Guo ◽

Jian Feng Zha ◽

Bing Fang Liu

Keyword(s):

Remote Sensing ◽

Development Process ◽

Information Science ◽

Rapid Development ◽

Geographical Information ◽

Mine Safety ◽

Transit Times ◽

Basic Work ◽

Safety Production ◽

Mine Surveying

Mine surveying is an important part and infrastructure protection of mine production and mine construction, and it is also very important basic work of coal mine safety production. This article summarized the development process of China's mine surveying for 60 years, the development process of China's mine surveying was from Transit Times which angling and distancing separately to Electronic Total Time which angling and distancing combo. Today, China's mine surveying has developed into an information science which combines with measurement and optoelectronic technology, computer technology, global positioning system (GPS), geographical information system (GIS) , remote sensing (RS) , D-InSAR and Unmanned Aerial Vehicle Remote Sensing with the rapid development of science and technology. This paper also analyzed the development status, opportunities and challenges-digital of China's mine surveying , and pointed out its development direction and what measures should be taken.

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ANALISIS KESESUAIAN LAHAN DAN EVALUASI JENIS TANAH DALAM BUDIDAYA TANAMAN TEBU UNTUK PENGEMBANGAN DAERAH KABUPATEN TEGAL

Jurnal Sains dan Teknologi Indonesia ◽

10.29122/jsti.v13i2.878 ◽

2013 ◽

Vol 13 (2) ◽

Author(s):

Daru Mulyono

Keyword(s):

Remote Sensing ◽

Information System ◽

Spatial Analysis ◽

Geographical Information System ◽

Plant Productivity ◽

Saccharum Officinarum ◽

Geographical Information ◽

Sugarcane Plant ◽

Plant Cultivation ◽

Suitability Map

The objectives of the research were to make land suitability map for sugarcane plant (Saccharum officinarum), to give recommendation of location including area for sugarcane plant cultivation and to increase sugarcane plant productivity. The research used maps overlay and Geographical Information System (GIS) which used Arch-View Spatial Analysis version 2,0 A in Remote Sensing Laboratory, Agency for the Assessment and Application of Technology (BPPT), Jakarta. The research was carried out in Tegal Regency starting from June to October 2004.The results of the research showed that the suitable, conditionally suitable, and not suitable land for sugarcane cultivation in Tegal Regency reached to a high of 20,227 ha, 144 ha, and 81,599 ha respectively. There were six most dominant kind of soil: alluvial (32,735 ha), grumosol 5,760 ha), mediteran (17,067 ha), latosol (18,595 ha), glei humus (596 ha), and regosol (22,721 ha).

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Mapping Groundwater Potential for Irrigation, by Geographical Information System and Remote Sensing Techniques: A Case Study of District Lower Dir, Pakistan

Atmosphere ◽

10.3390/atmos12060669 ◽

2021 ◽

Vol 12 (6) ◽

pp. 669

Author(s):

Abid Sarwar ◽

Sajid Rashid Ahmad ◽

Muhammad Ishaq Asif Rehmani ◽

Muhammad Asif Javid ◽

Shazia Gulzar ◽

...

Keyword(s):

Remote Sensing ◽

Water Table ◽

Groundwater Potential ◽

Geographical Information ◽

Groundwater Potential Zone ◽

Potential Zone ◽

Relative Significance ◽

High Good ◽

Groundwater Potentiality ◽

Very High

The changing climate and global warming have rendered existing surface water insufficient, which is projected to adversely influence the irrigated farming systems globally. Consequently, groundwater demand has increased significantly owing to increasing population and demand for plant-based foods especially in South Asia and Pakistan. This study aimed to determine the potential areas for groundwater use for agriculture sector development in the study area Lower Dir District. ArcGIS 10.4 was utilized for geospatial analysis, which is referred to as Multi Influencing Factor (MIF) methodology. Seven parameters including land cover, geology, soil, rainfall, underground faults (liniment) density, drainage density, and slope, were utilized for delineation purpose. Considering relative significance and influence of each parameter in the groundwater recharge rating and weightage was given and potential groundwater areas were classified into very high, high, good, and poor. The result of classification disclosed that the areas of 113.10, 659.38, 674.68, and 124.17 km2 had very high, high, good, and poor potential for groundwater agricultural uses, respectively. Field surveys for water table indicated groundwater potentiality, which was high for Kotkay and Lalqila union councils having shallow water table. However, groundwater potentiality was poor in Zimdara, Khal, and Talash, characterized with a very deep water table. Moreover, the study effectively revealed that remote sensing and GIS could be developed as potent tools for mapping potential sites for groundwater utilization. Furthermore, MIF technique could be a suitable approach for delineation of groundwater potential zone, which can be applied for further research in different areas.

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Semantics of Voids within Data: Ignorance-Aware Machine Learning

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi10040246 ◽

2021 ◽

Vol 10 (4) ◽

pp. 246

Author(s):

Vagan Terziyan ◽

Anton Nikulin

Keyword(s):

Spatial Data ◽

Information Science ◽

Nearest Neighbor ◽

Geographical Information ◽

Two Dimensional ◽

Prototype Selection ◽

Data Space ◽

Important Concern ◽

Traditional Classification ◽

Nearest Neighbor Classifiers

Operating with ignorance is an important concern of geographical information science when the objective is to discover knowledge from the imperfect spatial data. Data mining (driven by knowledge discovery tools) is about processing available (observed, known, and understood) samples of data aiming to build a model (e.g., a classifier) to handle data samples that are not yet observed, known, or understood. These tools traditionally take semantically labeled samples of the available data (known facts) as an input for learning. We want to challenge the indispensability of this approach, and we suggest considering the things the other way around. What if the task would be as follows: how to build a model based on the semantics of our ignorance, i.e., by processing the shape of “voids” within the available data space? Can we improve traditional classification by also modeling the ignorance? In this paper, we provide some algorithms for the discovery and visualization of the ignorance zones in two-dimensional data spaces and design two ignorance-aware smart prototype selection techniques (incremental and adversarial) to improve the performance of the nearest neighbor classifiers. We present experiments with artificial and real datasets to test the concept of the usefulness of ignorance semantics discovery.

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