SATELLITE DATA BASED NATURAL RESOURCES MAPPING OF BANNI GRASS LAND, KACHCHH DISTRICT, GUJARAT, INDIA.

Natural resources provide a range of interrelated environmental functions and socioeconomic benefits, which support a variety of livelihood strategies for different stakeholders of the local community. Banni Grasslands Reserve form a belt of arid grassland ecosystem, located in northern part of Kachchh district. This area is known for rich wildlife and biodiversity and is spread across an area of 2,617 square kilometers. Different types of flora and fauna species present in this region. It‟s a very important to observe & monitoring this region applying advanced technology such as Geographical Information Science with various remotely sensed data. With respect to Banni region, soils are moderate to strongly saline and are subject to flooding/inundation. Due to this inundation factor there is variation of vegetation also. The invasion species as Prosopis juliflora has taken a significant role for damaging the ecosystem through deceasing the grass areas. This region is totally dependent on livestock farming. This region has the Pastoralist community and they are locally called Maldhari who has camels, sheep, goats, cattle, and buffaloes. Besides these natural resources; long coast line is also contributing major portions in district economies. The natural resource map has been prepared with the advance Remote sensing technology for the Pastoral community to find out suitable vegetation for their grazing animals. Increasing of grazing pressure is also a major problem to this region. So, using of space technology in this region will be a great achievement for the development of pastoral community as well as its ecosystem conservation plan also. Key words: Natural Resources, Maldhari, conservation, Participatory, GPS.

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Application of Geoinformation Technology to the Management of Community-Based Natural Resources for Tourism Development in Northern Tanzania

10.4018/978-1-7998-7335-8.ch008 ◽

2022 ◽

pp. 183-205

Author(s):

Norbert John Ngowi

Keyword(s):

Natural Resources ◽

Geographical Information Systems ◽

Local Community ◽

Negative Impact ◽

Tourism Industry ◽

Natural Resources Management ◽

Geographical Information ◽

Community Based ◽

Critical Measure ◽

Northern Tanzania

The approaches to natural resources management have evolved. Disparities in their adoption are likely to produce a long-lasting negative impact on the resources and the livelihood security of the community depending on them. The use of geoinformation by the local community is a critical measure to the sustainability of its resources. Nonetheless, the application of geoinformation technologies to the community-based natural resources for the tourism industry is highly unknown. This chapter reviewed the application of geoinformation technology to the management of community-based natural resources in the Pangani District of Northern Tanzania. It considers how geoinformation technology is used in the management of tourism activities for community development. Specifically, the chapter discusses community developments resulting from that as well as challenges associated with the use of geographical information systems and remote sensing technologies. The chapter concludes with key recommendations for improving those challenges.

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Roma seminomadic tradition between social inclusion and the protection of natural resources a Case study of the Toplica District (Serbia).pdf

10.31124/advance.9933305.v1 ◽

2019 ◽

Author(s):

Aleksandar Valjarević ◽

Jasmina Petrović ◽

Olivera Marković-Savić ◽

Dejan Filipović ◽

Dušan Ristić ◽

...

Keyword(s):

Natural Resources ◽

Social Inclusion ◽

Information Science ◽

Minority Group ◽

Geographical Information ◽

The South ◽

Inclusion Results

In this research, we try to connect sociology with GIS (Geographical Information Science). The main problem in the South-East Serbia present low integration of Roma minority group into society. In that case, better collective ecology conscience may give better inclusion results.

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Roma seminomadic tradition between social inclusion and the protection of natural resources a Case study of the Toplica District (Serbia).pdf

10.31124/advance.9933305 ◽

2019 ◽

Author(s):

Aleksandar Valjarević ◽

Jasmina Petrović ◽

Olivera Marković-Savić ◽

Dejan Filipović ◽

Dušan Ristić ◽

...

Keyword(s):

Natural Resources ◽

Social Inclusion ◽

Information Science ◽

Minority Group ◽

Geographical Information ◽

The South ◽

Inclusion Results

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Kelembagaan Masyarakat dan Struktur Agraria serta Keberlanjutan Sumberdaya Alam di Kawasan Capa

Agrotek ◽

10.30862/agt.v2i3.468 ◽

2018 ◽

Vol 2 (3) ◽

Author(s):

Mecky Sagrim

Keyword(s):

Natural Resources ◽

Local Community ◽

Property Right ◽

Local Institutions ◽

Group Property ◽

Young Shoot ◽

Agrarian Structure

Aim of the research as follows: (1) inquisitive about variation of laws in regulating agrarian resources use, (2) function of traditional law in regulation at used of natural resources and related with existence on natural preservation-in formal law, and (3) inquiring influence outsider intervention to local institutions with the agrarian structure and relationship between expectation agrarian conflict. The unity of the study is Arfak community-as much as local community- was that administrative limited seatle in certain locations around natural preservation area of the Arfak Mountain. The trategy of the research is case study, while analysis of the data with qualitative manner. Result of the research is in the locations study beside property right of local community and movement of Arfak community from high land include at the resettlement programme. Not a problem related with economic subsistence with economic un-security because group property right community give free to the movement community for use to agriculture developing. For developing concept of forest sustainable as nit side to one side, income several NGO as well as role as institution relationship (young-shoot autonomy) for accommodation importance various party supra-village in relationship with existence natural preservation area of the Arfak Mountain and the party of local community in related of security in economic subsistence.

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Use of Remotely Sensed Data to extract geographical information of the area around Ballıhisar (Pessinus) in Central Anatolia. Field campaign, August 1992

Anatolia Antiqua ◽

10.3406/anata.1996.1193 ◽

1996 ◽

Vol 4 (1) ◽

pp. 97-109

Author(s):

Morgan De Dapper ◽

Pascal Brackman

Keyword(s):

Remotely Sensed ◽

Geographical Information ◽

Central Anatolia ◽

Remotely Sensed Data ◽

Field Campaign

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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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