scholarly journals Habitat Suitability Assessment of Wintering Herbivorous Anseriformes in Poyang Lake, China

Diversity ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 171
Author(s):  
Megersa Tsegaye Debela ◽  
Qingming Wu ◽  
Zhe Li ◽  
Xueying Sun ◽  
Opelele Omeno ◽  
...  
Keyword(s):  
Habitat Suitability ◽  
Poyang Lake ◽  
Satellite Image ◽  
The United States ◽  
Conservation Strategy ◽  
United States Geological Survey ◽  
Ancillary Data ◽  
Landsat Images ◽  
Suitability Assessment ◽  
Study Results

To design a good conservation strategy for herbivorous Anseriformes wintering in Poyang Lake, knowledge of habitat suitability is essential. Therefore, this study aimed to assess the habitat suitability of herbivorous Anseriformes of China’s Poyang Lake. Landsat images with a resolution of 30 m downloaded from the United States Geological Survey, and other ancillary data were used. The ENVI 5.3 software and ArcGIS 10.2 software were used for preprocessing, classifying the satellite image, and mapping habitat suitability. The study reveals that land cover types were divided into vegetation, mudflats, water, and sand. Similarly, the study area’s habitats were also divided into unsuitable, fair, good, and best grades. However, the distribution of the habitat suitability for each grade reveals significant spatial variations. For instance, vegetation indicated the areas with the best habitat grade, followed by mudflats, and these areas cover (47.93%, 2015 and 55.78%, 2019) the majority of the study area. The unsuitable grades cover the smallest areas (0.48%) of the lake. Similarly, this study results showed a slight change in habitat suitability areas. Therefore, this study highlighted that Poyang Lake has valuable importance for the conservation of herbivorous Anseriformes. Extending the years of study and including some ecological variables from different stopovers could improve the results.

scholarly journals Trend Analysis and Simulation of Human Vulnerability Based on Physical Factors of Riverbank Erosion Using RS and GIS

2021 ◽  
Author(s):  
Tayabur Rashid Chowdhury ◽  
Zia Ahmed ◽  
Sabina Islam ◽  
Shetu Akter ◽  
Shrinidhi Ambinakudige ◽  
...  
Keyword(s):  
Query Language ◽  
Satellite Image ◽  
The United States ◽  
Present Condition ◽  
Primary Data ◽  
United States Geological Survey ◽  
Physical Factors ◽  
Infrastructure Development ◽  
Landsat Images ◽  
Vulnerable Households

AbstractThis study aims to analyze the pattern of bank erosion and simulate the physical aspects of vulnerability in the lower Meghna River, Bangladesh using remote sensing (RS) and geographic information systems (GIS). The physical factors of vulnerability were analyzed using GIS-based Structured Query Language (SQL). A questionnaire survey, GPS survey and field observation survey were conducted for collecting the primary data in the study area. The secondary data were mainly satellite image collected from the United States Geological Survey (USGS) website. Using time series Landsat images (MSS, TM and OLI-TIRS), this study analyzed 36 years of erosion and accretion process in the Mehendiganj Upazila region from 1980 to 2016. The result indicates that an enormous amount of land (4470.47 ha) was submerged by the river and average land loss rate was 124.18 ha/year. The study quantifies the number of vulnerable households beneath the present condition and how much it will be altered after a positive/negative change with the factors of vulnerability related to the households. Simulation data reveals that under the present physical condition, 43.88% of households were identified as severely vulnerable. The output of this study can be used in the classification of vulnerable households and for the improvement of the physical infrastructure development process near the erosion prone areas, also helps to mitigate environmental disaster in the developing countries.

scholarly journals Local Search for Optimal Global Map Generation Using Mid-Decadal Landsat Images

AI Magazine ◽  
2009 ◽  
Vol 30 (2) ◽  
pp. 84 ◽  
Author(s):  
Lina Khatib ◽  
Robert A. Morris ◽  
John Gasch
Keyword(s):  
Local Search ◽  
The United States ◽  
Thematic Mapper ◽  
Sensor Data ◽  
United States Geological Survey ◽  
Landsat Images ◽  
Remote Sensor ◽  
Map Generation ◽  
Landsat 7 ◽  
Generation Problem

NASA and the United States Geological Survey (USGS) are collaborating to produce a global map of the Earth using Landsat 5 Thematic Mapper (TM) and Landsat 7 Enhanced Thematic Mapper Plus (ETM+) remote sensor data from the period of 2004 through 2007. The map is comprised of thousands of scene locations and, for each location, there are tens of different images of varying quality to chose from. Constraints and preferences on map quality make it desirable to develop an automated solution to the map generation problem. This paper formulates a Global Map Generator problem as a Constraint Optimization Problem (GMG-COP) and describes an approach to solving it using local search. The paper also describes the integration of a GMG solver into a graphical user interface for visualizing and comparing solutions, thus allowing for solutions to be generated with human participation and guidance.

scholarly journals Spatio-temporal analysis of land use dynamics and its potential indications on land surface temperature in Sokoto Metropolis, Nigeria

2018 ◽  
Vol 5 (12) ◽  
pp. 180661 ◽  
Author(s):  
K. O. Ogunjobi ◽  
Y. Adamu ◽  
A. A. Akinsanola ◽  
I. R. Orimoloye
Keyword(s):  
Land Use ◽  
Surface Temperature ◽  
Land Surface Temperature ◽  
Urban Growth ◽  
Land Surface ◽  
Anthropogenic Activities ◽  
Global Environmental Change ◽  
The United States ◽  
United States Geological Survey ◽  
Landsat Images

Land use change is the main driving force of global environmental change and is considered as most central to various debates on sustainable development. Even though a large volume of literature materials is available on land use/land cover change for many areas, very little work has been done on land use and its implications on land surface thermal characteristics over the Sokoto area of Nigeria, despite the strategic importance of the zone, including urbanization, increased population as well as the climate in the area, which is dominated by warm harmattan wind blowing Sahara dust inland. Thus, this study aimed at investigating the implications of urban growth on temporal variations of land surface temperature (LST) using remote sensing and geographic information system (GIS) techniques over Sokoto Metropolis, Nigeria between 1986 and 2016. The change detection of each land use class was carried out for each period using Landsat images obtained from the archives of the United States Geological Survey (USGS). The results revealed that the area has undergone a drastic transformation where built-up area witnessed changes at 10.77%, farmland and vegetation increased at the rate of 0.72% and 2.15%, respectively, for the period of study (1986–2016). While bare soil and water body decreased at the rate of 0.56% and 1.11%, respectively, during the study period. This shows that there exists a transformation from bare surface (desert) to vegetated surface especially between years 2009 and 2016. The LST of Sokoto Metropolis was calculated from the satellite data, and the land surface temperature of each land use class was assessed for the study period. The maximum LST of Sokoto was 30.6°C, 32.8°C and 34.6°C for 1986, 1999 and 2016, respectively. This study has revealed the existence of a positive relationship between built-up area and LST over the area. This development might be as a result of anthropogenic activities through urban growth coupled with its potential impacts on urban climate. These are intensified by constant changes of the space, causing imbalance in the interactions between surface and atmosphere which may be extensively influenced or modified by various forms of land use.

Elephant’s habitat suitability assessment through geo spatial quantification in Panchet forest division, West Bengal

2020 ◽  
Vol 1 (3) ◽  
pp. 127-140
Author(s):  
Mrinmay Mandal ◽  
Nilanjana Das Chatterjee
Keyword(s):  
Habitat Suitability ◽  
Satellite Image ◽  
Good Condition ◽  
Suitable Habitat ◽  
Forest Patches ◽  
Forest Patch ◽  
Biological Behaviour ◽  
Content Type ◽  
Suitability Assessment ◽  
Forest Division

Purpose Ecologically habitat is an area of a particular species wherefrom its play every relationship with the surrounding. Therefore, every species hold habitat that supports to survive its life. The large terrestrial herbivore animal elephant (Elephas maximus) requires deferent kind of habitat for their biological behaviour. Forest habitat one of the landscapes entire their home range is very much responsible for selecting suitable habitat. The nature of habitat selection by an elephant is deeply concerned with landscape attributes. Design/methodology/approach The present study started in this opinion. The study area Panchet Forest Division (PFD) has 28 forest patches are not in same size. Generally, forest patches are the most suitable habitat for elephant in every forest landscape as well as in PFD. But which forest patch will be highly suitable that depends on ecological function of other geospatial attributes like patch shape complexity, patch core, road intervention intensity, amount of water body and composition of the forest. The present study measures these attributes by different sequential steps such as field inquiry, satellite image processing and GIS application by using ERDAS 9.3 and ArcGIS 10.3 version software. Findings After measuring these attributes value, Habitat Suitability Index is assessed through combined weighted principle method and prepared a suitability map. This map signifies that Joypur-I and II, Upper Peardoba, Brindabanpur, Kalabagan forest patches have good condition for elephant to prefer as a suitable habitat in PFD. Originality/value Spatial classification of elephant habitat in PFD helps society and managing authority. It facilitates better management and reducing the chance of human – elephant frequent contact.

scholarly journals Probabilistic near-field tsunami source and tsunami run-up distribution inferred from tsunami run-up records in northern Chile

2021 ◽  
Author(s):  
Jun-Whan Lee ◽  
Jennifer Irish ◽  
Robert Weiss
Keyword(s):  
Moment Tensor ◽  
Near Field ◽  
The United States ◽  
Tsunami Source ◽  
United States Geological Survey ◽  
Northern Chile ◽  
Study Results ◽  
Run Up ◽  
Tsunami Run Up

Understanding a tsunami source and its impact is vital to assess a tsunami hazard. Thanks to the efforts of the tsunami survey teams, high-quality tsunami run-up data exists for contemporary events. Still, it has not been widely used to infer a tsunami source and its impact mainly due to the computational burden of the tsunami forward model. In this study, we propose a TRRF-INV (Tsunami Run-up Response Function-based INVersion) model that can provide probabilistic estimates of a near-field tsunami source and tsunami run-up distribution from a small number of run-up records. We tested the TRRF-INV model with synthetic tsunami scenarios in northern Chile and applied it to the 2014 Iquique, Chile, tsunami event as a case study. The results demonstrated that the TRRF-INV model can provide a reasonable tsunami source estimate to first order and estimate tsunami run-up distribution well. Moreover, the case study results agree well with the United States Geological Survey report and the global Centroid Moment Tensor solution. We also analyzed the performance of the TRRF-INV model depending on the number and the uncertainty of run-up records. We believe that the TRRF-INV model has the potential for supporting accurate hazard assessment by (1) providing new insights from tsunami run-up records into the tsunami source and its impact, (2) using the TRRF-INV model as a tool to support existing tsunami inversion models, and (3) estimating a tsunami source and its impact for ancient events where no data other than estimated run-up from sediment deposit data exists.

scholarly journals The Application of GIS and Remote Sensing in a Spatiotemporal Analysis of Coastline Retreat in Rufisque, Senegal

2021 ◽  
Vol 15 (3) ◽  
pp. 55-80
Author(s):  
Cheikh Tidiane Koulibaly ◽  
Johnson O. Ayoade
Keyword(s):  
Coastal Erosion ◽  
Shoreline Change ◽  
Spatiotemporal Analysis ◽  
The United States ◽  
United States Geological Survey ◽  
Landsat Images ◽  
Change Analysis ◽  
Gis And Remote Sensing ◽  
Local Residents ◽  
Analysis System

This paper is aimed at analyzing the phenomenon of shoreline retreat in the locality of Rufisque from 1978 to 2018 mainly using geospatial data and field visits. A set of Landsat images from different dates at 10 year intervals was then acquired through the United States Geological Survey platform and shoreline change analysis was run using the Digital Shoreline Analysis System. In addition to that desktop work, interactions with local residents allowed the determination of ongoing adaptation strategies actually in place to cope with coastal erosion. The study showed that Rufisque is subject to serious rates of erosion reaching −19.48 m/year from 1978–1988, close to −8 m/year from 1988–1998, −5.88 m/year from 1998–2008 and −6.67 m/year from 2008–2018. Beside that coastal erosion, it has been noticed that the coastline also experienced in some of its parts cases of accretion reaching 4.94 m/year for 1988–1998, 7.29 m/year from 1998–2008 and 7.68 m/year during the period 2008–2018. In terms of surfaces, Rufisque’ shoreline respectively lost 156.81 ha (1978–1988), 80.55 ha (1988–1998), 6.94 ha (1998–2008), 12.93 ha (2008–2018) and in the same note gained 2.86 ha (1988–1998), 32.51 ha (1998–2008) and 19.16 ha (2008–2018) attesting to the fact that the coastline is subject to both spatiotemporal changes. Finally, this study also reveals that while authorities’ reaction is taking place at much lower pace, local communities are actually using their ingenuity to put in place strategies to tackle coastal erosion.

Landsat Images and Mosaics of Antarctica for Mapping and Glaciological Studies

1982 ◽  
Vol 3 ◽  
pp. 321-326 ◽  
Author(s):  
Richard S. Williams ◽  
Jane G. Ferrigno ◽  
Tina M. Kent ◽  
James W. Schoonmaker
Keyword(s):  
Satellite Image ◽  
The United States ◽  
Landsat Image ◽  
Federal Republic Of Germany ◽  
West Antarctica ◽  
Landsat Images ◽  
Satellite Technology ◽  
Geological Survey Professional Paper ◽  
The United Kingdom ◽  
The Republic

The preparation of a US Geological Survey Professional Paper, “Satellite image atlas of glaciers”, has produced a 1:5 000 000 scale “Landsat index map of Antarctica”, in which each of the 2 470 Landsat nominal scene centers is represented by a symbol showing the suitability of available Landsat images for the preparation of planimetric image maps and for glaciological studies. Landsat has the potential for imaging about 79% of the area of Antarctica, and 70% of the Landsat imaging area, or about 55% of the continent, was found to have excellent or good (less than 10% cloud cover) coverage.Australia, Japan, New Zealand, the United Kingdom, and the United States of America have published Landsat image maps, either as single Landsat scenes or as mosaics of two or more images. The Federal Republic of Germany and the Republic of South Africa also plan to publish Landsat image maps in the near future.Available Landsat images could be used, in combination with Doppler satellite technology for geodetic control, to triple the area of Antarctica presently mapped at scales of 1:250 000 or larger. Landsat-3 RBV images can also be used to prepare 1:100 000 scale image maps.In addition to eventually using Landsat images to compile an accurate coastline of Antarctica, Landsat images have been successfully used for glaciological studies. Recent measurements of successive images of Pine Island Glacier, Walgreen Coast, West Antarctica, showed an average speed of flow of the terminus of 6 m d−1over 750 d.

Landsat Images and Mosaics of Antarctica for Mapping and Glaciological Studies

1982 ◽  
Vol 3 ◽  
pp. 321-326 ◽  
Author(s):  
Richard S. Williams ◽  
Jane G. Ferrigno ◽  
Tina M. Kent ◽  
James W. Schoonmaker
Keyword(s):  
Satellite Image ◽  
The United States ◽  
Landsat Image ◽  
Federal Republic Of Germany ◽  
West Antarctica ◽  
Landsat Images ◽  
Satellite Technology ◽  
Geological Survey Professional Paper ◽  
The United Kingdom ◽  
The Republic

The preparation of a US Geological Survey Professional Paper, “Satellite image atlas of glaciers”, has produced a 1:5 000 000 scale “Landsat index map of Antarctica”, in which each of the 2 470 Landsat nominal scene centers is represented by a symbol showing the suitability of available Landsat images for the preparation of planimetric image maps and for glaciological studies. Landsat has the potential for imaging about 79% of the area of Antarctica, and 70% of the Landsat imaging area, or about 55% of the continent, was found to have excellent or good (less than 10% cloud cover) coverage.Australia, Japan, New Zealand, the United Kingdom, and the United States of America have published Landsat image maps, either as single Landsat scenes or as mosaics of two or more images. The Federal Republic of Germany and the Republic of South Africa also plan to publish Landsat image maps in the near future.Available Landsat images could be used, in combination with Doppler satellite technology for geodetic control, to triple the area of Antarctica presently mapped at scales of 1:250 000 or larger. Landsat-3 RBV images can also be used to prepare 1:100 000 scale image maps.In addition to eventually using Landsat images to compile an accurate coastline of Antarctica, Landsat images have been successfully used for glaciological studies. Recent measurements of successive images of Pine Island Glacier, Walgreen Coast, West Antarctica, showed an average speed of flow of the terminus of 6 m d−1 over 750 d.

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