scholarly journals 3.Application of remote sensing and satellite telemetry to resource selection analyses of migratory birds(Subject : Location Information and Geographic Information Systems : Lessons learned from the case of the migratory bird investigation)(Proceedings of the 42nd Regular Meeting of Eastern Region)

2004 ◽  
Vol 55 (2) ◽  
pp. 163
Author(s):  
H. Shimazaki
Keyword(s):  
Remote Sensing ◽  
Geographic Information Systems ◽  
Resource Selection ◽  
Migratory Birds ◽  
Satellite Telemetry ◽  
Migratory Bird ◽  
Lessons Learned ◽  
Location Information ◽  
Eastern Region ◽  
Regular Meeting

scholarly journals Aplikasi Penderiaan Jauh atau Remote Sensing dalam Pemodelan Pengaruh Iklim terhadap Taburan Burung Hijrah Di Hutan Paya Laut Matang, Perak

2016 ◽  
Vol 8 (3) ◽  
Author(s):  
Azimah Abd Rahman
Keyword(s):  
Remote Sensing ◽  
Habitat Selection ◽  
Mangrove Forest ◽  
Migratory Birds ◽  
Climate Modeling ◽  
Migratory Bird ◽  
Bird Populations ◽  
Alternative Habitat ◽  
The Future ◽  
Selection Of

Climate changes especially temperature and rainfall effect the habitat selection of bird migration in mangrove area to get some food and temporary stopover. The increase and decrease of temperature and rainfall is varies between upstream to downstream. This research was done to prove that temperature and rainfall are uneven in some area even in same boundary that can give impact in habitat selection of migratory birds. This research was concern around Matang Mangrove Forest, Perak that already familiar as focal area for migratory birds. Remote Sensing application was used in this research through use of ERDAS Imagine 8.5 which is based on pixels. This application helps to model the relationship between climate, namely temperature and rainfall with distribution density of migratory birds around the study area. Climate modeling was conducted to predict the distribution of migratory bird populations in the future due to changes in temperature and rainfall over a period of 5 years and 20 years. The results of this study showed a decrease in the population of migratory birds by 6.4% for a period of 5 years and a decrease to 7.5% for the last 20 years.  Sungai Sepetang and Sungai Selinsing shown that migratory bird populations decreased continuously after 20 years. However the Sangga Besar, Teluk Kertang, Temerlok, Pulau Pasir Hitam dan Sungai Tinggi area showed an increase in the arrival of migratory birds after 20 years.  This information analysis help the related agencies in manage and maintain the area around the Matang Mangrove Forest identified potential habitat for migratory birds in the future. In addition, through this study migratory bird monitoring can be carried out systematically on a wider scope without ignoring areas that strives to be the alternative habitat for migratory birds in the future.

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.

Study of Ancient Land Boundaries at Tauric Chersonesos Using Satellite Images

2019 ◽  
Vol 25 (1) ◽  
pp. 44-58 ◽  
Author(s):  
Edgar A. Terekhin ◽  
Tatiana N. Smekalova
Keyword(s):  
Remote Sensing ◽  
Information Systems ◽  
Geographic Information Systems ◽  
Satellite Images ◽  
Agricultural Land ◽  
Remote Sensing Data ◽  
Field Surveys ◽  
The 1960S ◽  
Better Than ◽  
Made In

Abstract The near chora (agricultural land) of Tauric Chersonesos was investigated using multiyear remote sensing data and field surveys. The boundaries of the land plots were studied with GIS (Geographic Information Systems) technology and an analysis of satellite images. Reliable reconstruction of the borders has been done for 231 plots (from a total of about 380), which is approximately 53% of the Chersonesean chora. During the last 50 years, most of the ancient land plots have been destroyed by modern buildings, roads, or forests. However, in the 1960s, a significant part of the chora was still preserved. Changes in preservation with time were studied with the aid of satellite images that were made in 1966 and 2015. During that period, it was found that the number of plots with almost-complete preservation decreased from 47 to 0. Those land plots whose preservation was better than 50% dropped from 104 to 4. A temporal map shows this decline in preservation. It was found that the areas of land plots could be determined accurately with satellite images; compared to field surveys, this accuracy was about 99%.

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