Live Monitoring of Earth Surface (LiMES): A framework for monitoring environmental changes from Earth Observations

2017 ◽  
Vol 202 ◽  
pp. 222-233 ◽  
Author(s):  
Gregory Giuliani ◽  
Hy Dao ◽  
Andrea De Bono ◽  
Bruno Chatenoux ◽  
Karin Allenbach ◽  
...  
2020 ◽  
Author(s):  
Yubao Qiu ◽  
Huadong Guo ◽  
Jie Liu ◽  
Fang Chen ◽  
Massimo Menenti

<p>The Digital Belt and Road program, the DBAR, is aiming to resolve the scientific understanding of the Earth changes, and sustainable development goals along the Belt and Road regions (B&R), which was initiated in 2016, and now have been developing into its 1<sup>st</sup> phase of implementation plan after the startup phase. With a strong collaboration and common interest, the Pan-Eurasia experiment the PEEX, and DBAR is crossed together to use the Earth observations to understanding and address the challenges for the environmental changes, especially for the Belt and Road in Asia about the changing of snow and ice, vegetation and ecosystem, disaster, urban, agriculture, water stress and etc.</p><p>With the development of the Earth Observations, either from the ground observations or the space/air borne platform, the Big Earth Data approach has been developing for addressing the societal and science challenges for the PEEX and DBAR common domain, with the eight working group efforts, and its potential contribution to the working efforts for the PEEX. In this talk, we will describe the Big Earth Data, societal challenges, its platform development, and more focus will be put in the snow and ice, urban, environment, disaster, and water as the priorities for the cross feralization with PEEX.</p>


2021 ◽  
Author(s):  
Felix Henselowsky ◽  
Tobias Ullmann ◽  
Max Engel ◽  
Olaf Bubenzer

<p>Active earth-surface processes in desert environments can be well studied by utilizing recent spaceborne remote sensing imagery e.g. from the European Sentinel Missions. Insights on these processes are important to serve as modern analogues for the long-term landscape evolution of drylands and the preservation of paleoenvironmental archives. The multi-sensor fusion of latest earth-observation data, e.g. multispectral optical imagery, Synthetic Aperture Radar (SAR) data and/or digital elevation models (DEM´s), allows to distinguish landforms between very young and active to stable – presumably older – geomorphological units, the co-existence of which is a striking phenomenon in arid environments. Based upon this methodological approach, the current landscape dynamics in the hyper-arid southern Namib Desert are studied in a key area for past, current and future environmental changes in desert environments of the Southern Hemisphere: the Kaukausib catchment.</p><p>The Kaukausib catchment, located in-between two major atmospheric circulation patterns with tropical (summer rainfall) and extratropical (winter rainfall) influence, is highly sensitive to changes and interactions of both climate systems. The catchment is bounded by the Great Escarpment and receives no discharge from the higher hinterland. As such, fluvial activity and resulting landforms are related to local precipitation only. Consequently, the landform inventory of this distinct catchment is a unique recorder of recent and past climate dynamics of the Southern African drylands.</p><p>Preliminary investigations identified the high sensitivity of the Kaukausib catchment to recent short-term environmental changes. Rare extraordinary rainfall events, exceeding the average annual amount of less than 50 mm, lead to temporary changes in vegetation cover and density. These events seem to occur in a frequency of 6–11 years, at least during the last 30 years. They are mostly associated with atmospheric interaction of the tropical and extratropical circulation patterns in spring and autumn, e.g. in April 2006 with an unusual northward position of a cut-off-low from the temperate climate system in phase with a Temperate Tropical Through from the tropics unusually far south. The spatio-temporal changes of vegetation cover subsequent to these extraordinary rainfalls are studied by analyzing time series of Landsat 5. Vegetation vitality has its maximum three months after the rainfalls, where in some regions a rather dense cover of annual and ephemeral grass occurred (Henselowsky et al. 2019 Z. f. Geomorph https://doi.org/10.1127/zfg_suppl/2019/0552).</p><p>In addition, fluvial events following rainfalls in 2020 and 2018 are studied using Sentinel-1 data to identify short-term surface changes, but also to detect presumable stable sediment surfaces. Sporadic fluvial activity in turn is revealed by investigating signal differences in SAR intensity and InSAR coherence before and after fluvial activity. Information on channel activity is interpreted in the context of the morphometric characteristics and first field-investigations in the Anib and Arasab Pan. These pans limit the current runoff of the upper Kaukausib and represent the largest sediment basins of the southern Namib Desert. Therefore, the identification of current surface processes and sediment provenances, identified by spectral indices of optical satellite data, sets the baseline for future in-depth investigation of its sedimentary record and paleoenvironmental changes in the Kaukausib catchment.</p>


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Bruno Chatenoux ◽  
Jean-Philippe Richard ◽  
David Small ◽  
Claudia Roeoesli ◽  
Vladimir Wingate ◽  
...  

AbstractSince the opening of Earth Observation (EO) archives (USGS/NASA Landsat and EC/ESA Sentinels), large collections of EO data are freely available, offering scientists new possibilities to better understand and quantify environmental changes. Fully exploiting these satellite EO data will require new approaches for their acquisition, management, distribution, and analysis. Given rapid environmental changes and the emergence of big data, innovative solutions are needed to support policy frameworks and related actions toward sustainable development. Here we present the Swiss Data Cube (SDC), unleashing the information power of Big Earth Data for monitoring the environment, providing Analysis Ready Data over the geographic extent of Switzerland since 1984, which is updated on a daily basis. Based on a cloud-computing platform allowing to access, visualize and analyse optical (Sentinel-2; Landsat 5, 7, 8) and radar (Sentinel-1) imagery, the SDC minimizes the time and knowledge required for environmental analyses, by offering consistent calibrated and spatially co-registered satellite observations. SDC derived analysis ready data supports generation of environmental information, allowing to inform a variety of environmental policies with unprecedented timeliness and quality.


2016 ◽  
Vol 4 (1) ◽  
pp. 40
Author(s):  
Dhananjoy Medhi ◽  
Bimal Kumar Kar

Forests constitute the largest ecosystem and habitat of valuable species of plants and animals on the earth surface. The increasing size of population combined with increasing diversity of human activities is continuously degrading the forest areas of the earth’s surface causing great threat to it in respect of shrinkage of coverage, loss of biodiversity and disturbance in the ecological balance. The intense depletion of forest cover in various parts has also brought about large-scale environmental changes including disappearance of many valuable floral and faunal species. In the said context, the district of Goalpara, located in the western part of Assam, was dominantly covered with dense Sal (Shorea Robusta) forest, widely distributed in both the lowland and hills of the district. However, during last few decades the dense Sal forests of the district have experienced massive depletion because of excessive exploitations and encroachments transforming many patches of forestland treeless and now being used for other purposes. Even the reserved forests are also under acute degradation and encroachment. In this paper, an attempt is made to explore the nature and dimension of forest cover change alongside massive encroachments and associated implications in Gonbina Reserved Forest of Goalpara district, Assam during 1977-2010, with the help of Survey of India toposheet, satellite imagery, field survey and Geographical Information System.


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