Application of exterior deformation monitoring of dams by DInSAR analysis using ALOS PALSAR

Abstract Nairobi city is one of the fastest-growing cities in Africa. The rapid development has put pressure on the existing resources such as water resulting in overexploitation of groundwater. Nairobi had been reported to be susceptible to environmental hazards such as subsidence associated with the overexploitation of groundwater due to depletion of its aquifer. However, the subsidence has not been empirically quantified because Kenya lacks a functioning deformation monitoring framework. Through the use of InSAR, land subsidence in Nairobi was spatially quantified for the first time that confirms fears of subsidence as suggested by previous hydrogeological studies. We observed an increase in the spatial extends and the rates of subsidence, the highest rate of subsidence being approx. 62mm/yr located in the largest deforming area West of Nairobi. The deformation can majorly be linked to overexploitation of groundwater as it matches with regions with the highest rate of decline of groundwater levels. However, there exist also subsidence linked to rapid development. Given the significance of Nairobi to the Kenyan economy, the ripple effects of subsidence could be devastating and measures need to be taken to mitigate them. The deformation map provides an important tool for planning mitigation measures to prevent further deformation such as regulating the drilling of boreholes, planning of construction of buildings and transport networks, and locations for the observation wells for monitoring groundwater levels. It also reinforces the need for updating the geodetic network that has been rendered unreliable due to land subsidence.

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3D Land Mapping and Land Deformation Monitoring Using Persistent Scatterer Interferometry (PSI) ALOS PALSAR: Validated by Geodetic GPS and UAV

IEEE Access ◽

10.1109/access.2018.2804899 ◽

2018 ◽

Vol 6 ◽

pp. 12395-12404 ◽

Cited By ~ 16

Author(s):

Pakhrur Razi ◽

Josaphat Tetuko Sri Sumantyo ◽

Daniele Perissin ◽

Hiroaki Kuze ◽

Ming Yam Chua ◽

...

Keyword(s):

Deformation Monitoring ◽

Persistent Scatterer Interferometry ◽

Alos Palsar ◽

Persistent Scatterer ◽

Land Deformation

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INTERFEROMETRIC SAR TIME SERIES ANALYSIS FOR EXTERNAL DEFORMATION MONITORING OF FIVE ROCKFILL DAMS USING ALOS/PALSAR DATA

Journal of Japan Society of Civil Engineers Ser F3 (Civil Engineering Informatics) ◽

10.2208/jscejcei.73.1 ◽

2017 ◽

Vol 73 (1) ◽

pp. 1-14 ◽

Cited By ~ 1

Author(s):

Hiroyuki SATO ◽

Takashi SASAKI ◽

Masafumi KONDO ◽

Toshihide KOBORI ◽

Aoi ONODERA ◽

...

Keyword(s):

Time Series ◽

Time Series Analysis ◽

Deformation Monitoring ◽

Alos Palsar ◽

Series Analysis ◽

Interferometric Sar

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Deformation monitoring and failure mode research of mining-induced Jianshanying landslide in karst mountain area, China with ALOS/PALSAR-2 images

Landslides ◽

10.1007/s10346-021-01678-6 ◽

2021 ◽

Author(s):

Liquan Chen ◽

Chaoying Zhao ◽

Bin Li ◽

Kai He ◽

Chaofeng Ren ◽

...

Keyword(s):

Failure Mode ◽

Deformation Monitoring ◽

Alos Palsar ◽

Mountain Area

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Using the typification of mining-engineering facilities to substantiate deformation monitoring of opencast mining

News of the Ural State Mining University ◽

10.21440/2307-2091-2020-4-115-122 ◽

2020 ◽

pp. 115-122

Author(s):

Mariya Ruslanovna PONOMARENKO ◽

◽

Yuriy Ivanovich KUTEPOV ◽

Keyword(s):

Deformation Monitoring ◽

Sar Interferometry ◽

Open Pit ◽

Open Pit Mining ◽

Mining Engineering ◽

Opencast Mining ◽

Alos Palsar ◽

Earth Remote Sensing ◽

Geodynamic Processes ◽

Mine Surveying

To date, in the field of monitoring deformations of the earth’s surface in the area of opencast mining, there is almost no current regulatory and methodological documentation that regulates the conduct of observations and at the same time takes into account the features of existing mining facilities of opencast mining and the possibilities of modern survey technologies. The paper gives an approach to determining a set of methods for deformation monitoring within the territory of mining enterprises engaged in open-pit mining, based on the results of the typification of mining facilities. The developed typification makes it possible to estimate the degree of complexity of mining-engineering facilities, taking into account their size, features of engineering-geological, hydrogeological and orographic conditions, geodynamic processes. To increase the information content of mine surveying, as well as the quality and accuracy of deformation monitoring as a whole, it is proposed to include technologies for Earth remote sensing from space, namely, satellite-based synthetic aperture radar (SAR) interferometry, used within the proposed concept for areal monitoring of deformations and detection potentially hazardous areas at complex and particularly complex opencast mining facilities. The proposed approach to the organization of deformation monitoring was tested within the territory of the Khibiny apatite-nepheline deposit of the Rasvumchorr Plateau: the complexity of conditions for the development of the Tsentralny open pit was evaluated and recommendations were formulated for conducting mine surveying of deformations of the earth’s surface in its territory using satellite-based SAR interferometry. This method was used to analyze deformations of the earth’s surface for the periods from 2007 to 2011 and from 2015 to 2016 according to data from the ALOS PALSAR, TerraSAR-X and Sentinel-1 satellites.

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Evaluating Forest Cover and Fragmentation in Costa Rica with a Corrected Global Tree Cover Map

Remote Sensing ◽

10.3390/rs12193226 ◽

2020 ◽

Vol 12 (19) ◽

pp. 3226

Author(s):

Daniel Cunningham ◽

Paul Cunningham ◽

Matthew E. Fagan

Keyword(s):

Costa Rica ◽

Forest Cover ◽

Agricultural Land ◽

Forest Area ◽

Tree Cover ◽

Agricultural Crop ◽

Forest Change ◽

Alos Palsar ◽

Tropical Regions ◽

The Impact

Global tree cover products face challenges in accurately predicting tree cover across biophysical gradients, such as precipitation or agricultural cover. To generate a natural forest cover map for Costa Rica, biases in tree cover estimation in the most widely used tree cover product (the Global Forest Change product (GFC) were quantified and corrected, and the impact of map biases on estimates of forest cover and fragmentation was examined. First, a forest reference dataset was developed to examine how the difference between reference and GFC-predicted tree cover estimates varied along gradients of precipitation and elevation, and nonlinear statistical models were fit to predict the bias. Next, an agricultural land cover map was generated by classifying Landsat and ALOS PalSAR imagery (overall accuracy of 97%) to allow removing six common agricultural crops from estimates of tree cover. Finally, the GFC product was corrected through an integrated process using the nonlinear predictions of precipitation and elevation biases and the agricultural crop map as inputs. The accuracy of tree cover prediction increased by ≈29% over the original global forest change product (the R2 rose from 0.416 to 0.538). Using an optimized 89% tree cover threshold to create a forest/nonforest map, we found that fragmentation declined and core forest area and connectivity increased in the corrected forest cover map, especially in dry tropical forests, protected areas, and designated habitat corridors. By contrast, the core forest area decreased locally where agricultural fields were removed from estimates of natural tree cover. This research demonstrates a simple, transferable methodology to correct for observed biases in the Global Forest Change product. The use of uncorrected tree cover products may markedly over- or underestimate forest cover and fragmentation, especially in tropical regions with low precipitation, significant topography, and/or perennial agricultural production.

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