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.

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.

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.

Assessing the effects of groundwater extraction on coastal groundwater-dependent ecosystems using satellite imagery

2015 ◽  
Vol 66 (3) ◽  
pp. 226 ◽  
Author(s):  
Matthew Adams ◽  
Peter L. Smith ◽  
Xihua Yang
Keyword(s):  
Groundwater Management ◽  
New South ◽  
Landsat Imagery ◽  
Groundwater Extraction ◽  
Terrestrial Vegetation ◽  
Policy Makers ◽  
South Wales ◽  
Term Change ◽  
Groundwater Dependent Ecosystems

Terrestrial vegetation that depends on the subsurface presence of water can be severely affected by groundwater extraction. We analysed Landsat imagery to assess the ecological risk posed by groundwater pumping to native vegetation on the Tomago Sandbeds, a coastal sand mass in northern New South Wales. The effect of extraction on each major vegetation community was assessed by comparing rates of evapotranspiration between extraction zones and matched areas outside the influence of extraction. We found a significant long-term change in evapotranspiration close to groundwater extraction points within most forest, woodland and scrub communities, including those not currently regarded as being wholly dependent on groundwater. We therefore suggest that management of groundwater-dependent ecosystems should not be based on degree of dependence but instead on their sensitivity to groundwater management regimes. Our approach can provide policy makers with information needed to evaluate and adjust groundwater management within groundwater-dependent ecosystems.

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