Broadband albedo and area changes of the Ak-Shyjrak Glacier Massif during 1994-2018, Tien Shan, Kyrgyzstan

2019 ◽  
Vol 5 (1) ◽  
pp. 85-95
Author(s):  
Zarylbek Rakhmatilla uulu ◽  
◽  
Ryskul Usubaliyev ◽  
Andrey Mitusov
Keyword(s):  
Satellite Imagery ◽  
Satellite Image ◽  
Tien Shan ◽  
Data Series ◽  
Glacier Area ◽  
Source Data ◽  
The Mean ◽  
Landsat Satellite ◽  
Syr Darya

The Ak-Shyjrak Massif is considered one of the main water sources of the Naryn (a tributary of the Syr Darya) and Sary-Dzhaz (a tributary of the Aksu and Tarim) Rivers and, thus, should be subject to annual surveying to forecast the water content of these rivers. This article examines the long-term dynamics of the broadband albedo of snow and ice, as well as the area dynamics of the Lysyi, Davydov and Sary-Tor South Glaciers of the Ak-Shyjrak Glacier Massif (Kyrgyzstan). The Landsat satellite data series were used as the source data. It was established that during 1994-2018 the retreat of the glacier tongue for the Lysyi amounted to 698 m, 381 m for the Sary-Tor South and 1,926 m for the Davydov. The total loss of glacier area came up to 1.7 km2 (39.6%) for the Lysyi, and 3.6 km2 (30.3%) cumulatively for the Sary-Tor South and Davydov. Since 2005, the melting has significantly slowed down compared to the previous years. Based on the shortwave and visible band data collected in 2006, the broadband albedo at the altitudes from 3,899 to 4,200 m ASL was extremely low compared to other satellite imagery. It was noted that in the accumulation zone – the altitude from 4,200 to 4,799 m – the snow cover was permanent leading to higher albedo values. In the course of 1994-2018, the mean broadband albedo had fluctuated from 0.200 to 0.531 (summer-autumn). A satellite image of 2006 with extremely low albedo values deserved special attention. The highest albedo value was recorded in 2018. The reason underlying the sharp albedo increase was the recent snowfall over the surveyed area.

scholarly journals Monitoring scrub weed change in the Canterbury region using satellite imagery

2007 ◽  
Vol 60 ◽  
pp. 137-140 ◽  
Author(s):  
J.D. Shepherd ◽  
J.R. Dymond ◽  
J.R.I. Cuff
Keyword(s):  
Satellite Imagery ◽  
Vegetation Cover ◽  
Satellite Image ◽  
Visual Assessment ◽  
Woody Vegetation ◽  
Spatial Change ◽  
Valid Data ◽  
Woody Cover ◽  
Landsat Satellite ◽  
Thematic Data

The spatial change of woody vegetation in the Canterbury region was automatically mapped between 1990 and 2001 using Landsat satellite image mosaics The intersection of valid data from these mosaics gave coverage of 84 of the Canterbury region Changes in woody cover greater than 5 ha were identified Of the 5 ha areas of woody change only those that were likely to have been a scrub change were selected using ancillary thematic data for current vegetation cover (eg afforestation and deforestation were excluded) This resulted in 2466 polygons of potential scrub change These polygons were rapidly checked by visual assessment of the satellite imagery and assigned to exotic or indigenous scrub change categories Between 1990 and 2001 the total scrub weed area in the Canterbury region increased by 3600 400 ha and indigenous scrub increased by 2300 400 ha

Post-Disaster Urban Recovery Monitoring in Pisco After the 2007 Peru Earthquake Using Satellite Image

2014 ◽  
Vol 9 (6) ◽  
pp. 1059-1068 ◽  
Author(s):  
Tomoyo Hoshi ◽  
◽  
Osamu Murao ◽  
Kunihiko Yoshino ◽  
Fumio Yamazaki ◽  
...  
Keyword(s):  
Satellite Imagery ◽  
Urban Areas ◽  
Satellite Image ◽  
Recovery Process ◽  
Visual Interpretation ◽  
Field Surveys ◽  
Recovery Processes ◽  
The City ◽  
Post Disaster

Pisco was the area most damaged by the 2007 Peru earthquake. The purpose of this research is to develop possibilities of using satellite imagery to monitor postdisaster urban recovery processes, focusing on the urban change in Pisco between 2007 and 2011. To this end, the authors carried out field surveys in the city in 2012 and 2013 and also examined previous surveys to determine that building reconstruction peaked between 2008 and 2009. After analyzing the five-year recovery process, the authors compared its reconstruction conditions by visual interpretation with those by image analysis using satellite image. An accuracy of 71.2% was achieved for the visual interpretation results in congested urban areas, and that for developed districts was about 60%. The result shows that satellite imagery can be a useful tool for monitoring and understanding post-disaster urban recovery processes in the areas in which conducting long-term field survey is difficult.

scholarly journals Characteristics of cold–warm variation in the Hetao region and its surrounding areas in China during the past 5000 years

2010 ◽  
Vol 6 (4) ◽  
pp. 475-481 ◽  
Author(s):  
M.-Q. Li ◽  
Q.-S. Ge ◽  
Z.-X. Hao ◽  
J.-Y. Zheng ◽  
S.-F. He
Keyword(s):  
Climate Changes ◽  
Mean Value ◽  
Data Series ◽  
Proxy Data ◽  
Average Temperature ◽  
The Past ◽  
The Mean ◽  
Temperature Proxy ◽  
Surrounding Areas

Abstract. Using six long-term temperature proxy data series derived from different natural evidences, including pollens and lake-sediments, we reconstructed a temperature series with a 100-yr time resolution for the past 5000 yr in the Hetao region and its surrounding areas. The resulting series suggests that, on a millennial timescale, temperatures in the region were higher than the mean value of the whole series during the 5000~2600 years before present (yr BP) period, and became relatively low comparing with the average temperature of the whole series after 2600 yr BP. Within these two periods, temperature fluctuations comprising numerous short, multi-centennial intervals also existed. A comparison between our reconstructed series and other series in China and across the Northern Hemisphere indicate that, on a long-term scale, cold–warm variations had been in phase across the whole hemisphere during the past 5000 years; on the century to multi-century scale, the beginning and the ending times varied from region to region, thus implying that climate changes did not occur simultaneously in different regions.

scholarly journals Pemetaan Mangrove Kepulauan Lease, Provinsi Maluku Menggunakan Data Multi-Temporal Dan Multi-Sensor Citra Satelit Landsat

2018 ◽  
Vol 3 (1) ◽  
pp. 19
Author(s):  
Sam Wouthuyzen ◽  
Fasmi Ahmad
Keyword(s):  
Cloud Cover ◽  
Supervised Classification ◽  
Satellite Images ◽  
Satellite Image ◽  
Multi Temporal ◽  
The Mean ◽  
Landsat 5 Tm ◽  
Landsat Satellite ◽  
The Cost ◽  
Near Future

<strong>Mangrove Mapping of The Lease Islands, Maluku Province Using Multi-Temporal And Multi-Sensor Of Landsat Satellite Images.</strong> Mangrove mapping in the Lease Islands, Maluku Province has been done, but using only a single date satellite image. Therefore, it is difficult to know the dynamics of their changes.  The aim of this study is to map mangroves every 5 year (1985-2015) using multi-sensors (MSS, TM, ETM+ and OLI) of Landsat and field data. Supervised classification using maximum likelihood was used for classifying mangrove and other habitats, and counting their areas. Results showed that mangrove in the Saparua and Nusalaut Islands, consisted of 22 and 13 species, respectively, with the longest distribution along the cost line of Tuhaha Bay due to freshwater supplay from the surrounding river, while the rest are grown in the hardy reef flat substrates. The mean overall acurracies of the maps was good enough (74.7%), except for one Landsat-5 TM and Landat-8 OLI because of the influences of cloud cover or haze.  During 30 years, the areas of mangrove are relatively stable since they are protected by local wisdom called "Kewang". The highest bias of 11.4% that made the areas of mangrove increase or decrease was not due to the utilization or conversion of mangrove, but mainly due to the influences of cloud cover/haze and the geometric differences among Landsat sensors. In the near future, the OBIA method should be try, because it seems to be able to produce mangrove maps with better accuracy.

scholarly journals Contemporary Dynamics of the Sea Shore of Kaliningrad Oblast

2018 ◽  
Vol 65 (2) ◽  
pp. 143-159 ◽  
Author(s):  
Konstantin Karmanov ◽  
Eugeniy Burnashov ◽  
Boris Chubarenko
Keyword(s):  
Satellite Image ◽  
Analytical Data ◽  
Monitoring Network ◽  
Annual Rate ◽  
Shore Protection ◽  
Protection Measures ◽  
Kaliningrad Oblast ◽  
The Mean ◽  
Satellite Image Analysis

AbstractThe article presents estimations of coastline retreat and advance in Kaliningrad Oblast at 85 monitoring points for a ten-year period of 2007–2017, based on monitoring data supplemented with satellite image analysis. The mean annual rate of coastline retreat and advance was estimated in general for each of the four major morpholithodynamic segments of the coastline: the Vistula (−0.2 m/year) and Curonian (−0.4 m/year) spits, as well as the western (−0.5 m/year) and northern (−0.2 m/year) shores of the Sambia Peninsula. The analysis of the shore protection measures implemented in Kaliningrad Oblast from 2007 to 2017 showed that the length of protected shore segments increased by 30% to 14.5 km, which is 10% of the total coastline. The obtained scheme of long-term mean annual rates of coastline retreat and advance clearly demonstrates an uneven distribution of eroded segments along the shores of Kaliningrad Oblast, however the sea shore of Kaliningrad Oblast is mainly susceptible to erosion (44%). Accumulative segments of the shore make up only 17% of the total coastline, and the remaining 39% of the shore is relatively stable. The results obtained demonstrate that the long-term mean annual rate of coastline retreat has decreased to −0.3 m/year from −1 m/year in the earlier period of 2000–2010. The general condition of the entire coastline of Kaliningrad Oblast can therefore be described as relatively sustainable]. The changes are related to several factors, such as an increase in the length of protected shore segments, the resumption of sand pulp dumping in the beach area by the Amber Mining Plant, and an increase in the amount of analytical data from an expanded local monitoring network.

scholarly journals Research on Monitoring the Wetland Landcover Change Based on the Moderate Resolution Remote Sensing Image

2015 ◽  
Vol XL-7/W3 ◽  
pp. 563-567
Author(s):  
M Zhou ◽  
X. Yuan ◽  
L. Sun
Keyword(s):  
Remote Sensing ◽  
Satellite Image ◽  
Remote Sensing Image ◽  
Main Method ◽  
Landcover Change ◽  
Natural Reserve ◽  
Multi Temporal ◽  
Moderate Resolution ◽  
Landsat Satellite

Wetland is important natural resource. The main method to monitor the landcover change in wetland natural reserve is to extract and analyze information from remote sensing image. In this paper, the landcover information is extracted, summarized and analyzed by using multi-temporal HJ and Landsat satellite image in Zhalong natural reserve, Heilongjiang, China. The method can monitor the wetland landcover change accurately in real time and long term. This paper expounds the natural factors and human factors influence on wetland land use type, for scientific and effective support for the development of the rational use of wetlands in Zhalong natural wetland reserve.

scholarly journals Characteristics of cold-warm variation in the Hetao region and its surrounding areas in China during the past 5000 yr

2010 ◽  
Vol 6 (1) ◽  
pp. 1-18
Author(s):  
M. Li ◽  
Q. Ge ◽  
Z. Hao ◽  
J. Zheng ◽  
S. He
Keyword(s):  
Climate Changes ◽  
Mean Value ◽  
Data Series ◽  
Proxy Data ◽  
Average Temperature ◽  
The Past ◽  
The Mean ◽  
Temperature Proxy ◽  
Surrounding Areas

Abstract. Using six long-term temperature proxy data series derived from different natural evidences, including pollens and lake-sediments, we reconstructed a temperature series with a 100-year time resolution for the past 5000 yr in the Hetao region and its surrounding areas. The resulting series suggests that, on a millennial timescale, temperatures in the region were higher than the mean value of the whole series during the 5000~2600 yr before present (yr BP) period, and became relatively low comparing with the average temperature of the whole series after 2600 yr BP. Within these two periods, temperature fluctuations comprising numerous short, multi-centennial intervals also existed. A comparison between our reconstructed series and other series in China and across the Northern Hemisphere indicate that, on a long-term scale, cold–warm variations had been in phase across the whole hemisphere during the past 5000 yr; on the century to multi-century scale, the beginning and the ending times varied from region to region, thus implying that climate changes did not occur simultaneously in different regions.

scholarly journals INTEGRASI DATA INDERAJA DAN DATA GEOLOGI UNTUK MENDUKUNG EKSPLORASI TAMBANG EMAS, Studi Kasus di Kabupaten Paniai Provinsi Papua

2017 ◽  
Vol 19 (1) ◽  
pp. 75 ◽  
Author(s):  
Iksal Yanuarsyah ◽  
Yatin Suwarno
Keyword(s):  
Remote Sensing ◽  
Satellite Imagery ◽  
Spatial Data ◽  
Satellite Image ◽  
Image Interpretation ◽  
Geological Mapping ◽  
Alteration Zone ◽  
Mineralized Zone ◽  
Landsat Satellite ◽  
Mining Exploration

<p align="center"><strong><span style="text-decoration: underline;">ABSTRAK</span></strong></p><p>Pemetaan potensi sumberdaya geologi pertambangan khususnya potensi mineral perlu dilakukan sebagai awal dalam pengelolaan sumberdaya pertambangan terlebih dalam tahapan eksplorasi pendahuluan. Penginderaan jauh (Inderaja) merupakan alat bantu yang merekam rona lingkungan bumi yang mampu menginterpretasi potensi eksplorasi mineral logam seperti emas. Dengan menggunakan data citra satelit, biaya eksplorasi akan lebih rendah, termasuk efisiensi dalam melakukan pemboran. Tujuan dari studi ini yaitu mampu mendeliniasi Jalur Alterasi dengan interpretasi citra satelit agar untuk mendukung kegiatan eksplorasi tambang lebih efektif dan efisien. Lokasi kajian berada di Distrik Bogobaida, Kabupaten Paniai, Propinsi Papua seluas 40.116 Ha yang merupakan lokasi Izin Usaha Pertambangan (IUP) Eksplorasi PT. Kotabara Mitratama (izin berdasarkan Keputusan Bupati Paniai No. 017 Tahun 2010). Metode yang digunakan dalam kajian ini yaitu metode konseptual dengan memanfaatkan faktor geologi yang berpengaruh pada terbentuknya endapan minera). Tahapan analisa dimulai dari pengumpulan data spasial (peta) dan non spasial (tabular), analisa interpretasi citra Landsat dan identifikasi kelurusan zona lemah (lineament) untuk menentukan zona mineralisasi. Berdasarkan hasil interpretasi citra Landsat dengan didukung analisa geologi untuk daerah IUP PT. Kotabara Mitratama berprospek Tembaga (Cu) dan Emas (Au) yang terbagi dalam 9 Zona Mineralisasi dengan luas mencapai 2.922,48 Ha (yang terdiri dari 8 zona mineralisasi primer seluas 2.208,83 Ha dan 1 zona mineralisasi aluvial seluas 713,65 Ha).</p><p> Kata kunci: data inderaja, data geologi, eksplorasi emas</p><p align="center"> </p><p align="center"> <strong><em>ABSTRACT</em></strong></p><p> <em>Geological mapping of the mineral potential has to be done as the preliminary stages of mining exploration. Remote sensing is a common tool that used to records the earth's environment through image interpretation such for gold mine potential exploration. </em><em>By using satellite imagery data, will be lower exploration costs, including efficiency in drilling</em><em> </em><em>The aim of this study is to delineate alteration zone with satellite image interpretation to support mining exploration activities more effectively and efficiently. The study Located in Bogobaida District, Paniai Regency, Papua Province, covering an area of 40 116 hectares, in site case of Legal Mining Exploration Permit (IUP) PT. Kotabara Mitratama (Paniai Regent Decree No. 017 of 2010). The method used is utilizing conceptual geological factors that alleged the formation of mineral deposits. Stages of analysis starting from spatial data (maps) and non-spatial (tabular) collection, then Landsat satellite imagery interpretation and identification of weak zones straightness (lineament) due to define the mineralized zones. Based on the results of image interpretation with geological analysis in IUP PT. Kotabara Mitratama was prospected Copper (Cu) and gold (Au) which is divided into 9 Mineralization Zone with an area of 2,922.48 ha (consisting of 8 primary mineralized zone covering an area of 2,208.83 ha and 1 alluvial mineralized zone measuring 713.65 ha).</em></p><p> </p><p><em>K</em><em>eywords: Remote sensing, geological data, gold exploration</em></p>

scholarly journals Long-term changes in the snow–firn pack stratigraphy on Ürümqi glacier No. 1, eastern Tien Shan, China

2007 ◽  
Vol 46 ◽  
pp. 331-334 ◽  
Author(s):  
Feiteng Wang ◽  
Zhongqin Li ◽  
R. Edwards ◽  
Huilin Li
Keyword(s):  
Ablation Rate ◽  
Tien Shan ◽  
Coarse Grained ◽  
Climatic Warming ◽  
The West ◽  
Branch Site ◽  
Snow Stratigraphy ◽  
Long Term Changes ◽  
The Mean

AbstractWe report on changes to the snowpack of Ürümqi glacier No. 1, eastern Tien Shan, China, resulting from climate change between 1961 and 2005. Data from more than 120 snow pits were used to investigate temporal changes in the snow stratigraphy for three periods 1961–62, 1980–83 and 2002–05. Both the thickness and structure of the snow were found to be significantly altered by climatic warming. The proportion of coarse-grained firn, which is usually formed by infiltration water, was found to have increased from 40% to 65% over the period 1961–2005, and the distribution of the glacier zones also changed significantly, with all boundaries moving up-slope. The recrystallization–infiltration zone disappeared in 1989. The mean ablation rate over the melt season increased by ~26% from 1962 to 1980 at the west branch site and by ~75% from 1980 to 2004 at the east branch site.

Use of satellite image analysis to track wetland loss on the Murrumbidgee River floodplain in arid Australia, 1975-1998

2002 ◽  
Vol 45 (11) ◽  
pp. 45-53 ◽  
Author(s):  
R.T. Kingsford ◽  
R.F. Thomas
Keyword(s):  
Landsat Imagery ◽  
Satellite Image ◽  
Wetland Loss ◽  
Policy Makers ◽  
River Flooding ◽  
Variable Environments ◽  
Time Of Year ◽  
Landsat Satellite ◽  
Satellite Image Analysis

Demonstrating the extent of wetland loss and its causes are essential for policy makers and managers. We used Landsat satellite imagery to show major wetland loss in the Lower Murrumbidgee floodplain on the Murrumbidgee River in arid Australia. Stratification of the floodplain according to hydrology, use of imagery from the same time of year and the separation of developed areas, using ancillary information were essential. There was considerable loss of floodplain area over a 23 year period (1975-1998), mainly in the Nimmie-Caira stratum (59% loss), as wetland areas were replaced by irrigation bays. There was also a significant increase in fragmentation. For floodplain areas distant from the river, flooding patterns were more difficult to identify because of infrequent flooding and primary reliance on rainfall. Landsat imagery provided a powerful tool for demonstrating long-term changes in wetland area, even in highly variable environments. Such information can demonstrate the ecological costs of water resource development on floodplains, forming a basis for policy and management of rivers.

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