Mikhail Urbazaev

Mikhail Urbazaev
University of Maryland, College Park | UMD, UMCP, University of Maryland College Park

PhD

About

21
Publications
7,690
Reads
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249
Citations
Citations since 2016
20 Research Items
243 Citations
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060
20162017201820192020202120220102030405060

Publications

Publications (21)
Article
Full-text available
Accurate measurements of terrain elevation are crucial for many ecological applications. In this study, we sought to assess new global three-dimensional Earth observation data acquired by the spaceborne Light Detection and Ranging (LiDAR) missions Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) and Global Ecosystem Dynamics Investigation (GED...
Conference Paper
In contrast to the prevalent expectation that C-Band backscatter is only sensitive to changes in the geometry and water content of the canopy in dense tropical rain forest, there is a relationship between the Sentinel-1 VH backscatter signal and the flooding frequency of paleovarzea forests in the amazon. We use the empirical mode decomposition (EM...
Conference Paper
Two new NASA spaceborne Light Detection and Ranging (LiDAR) missions launched in late 2018 the Ice, Cloud, and land Elevation Satellite 2 (ICESat-2) and the Global Ecosystem Dynamics Investigation (GEDI) produce a new set of three dimensional data of Earth’s land surface. In this study we assessed the accuracy and precision of terrain and canopy he...
Article
Full-text available
Lidar remote sensing has proven to be a powerful tool for estimating ground elevation, canopy height, and additional vegetation parameters, which in turn are valuable information for the investigation of ecosystems. Spaceborne lidar systems, like the Global Ecosystem Dynamics Investigation (GEDI), can deliver these height estimates on a near global...
Article
Full-text available
The REDD+ framework requires accurate es- timates of deforestation. To derive these estimates, ground measurements are supported by methods based on remote sensing data to automatically detect and delineate deforesta- tions over large areas. In particular in the tropics, optical data is seldom available due to cloud cover. As Synthetic Aperture Rad...
Article
The climate in southern Iceland has warmed over the last 70 years, resulting in accelerated glacier dynamics at the Solheimajoküll glacier. In this study, we compare glacier terminus locations from 1973 to 2018, to changes in climate across the study area, and we derive ice-surface velocities (2015–2018) from satellite remote-sensing imagery (Senti...
Conference Paper
Full-text available
The UNFCCC REDD+ framework increases the need for highly accurate maps of deforestation and degradation in the tropics. Operational forest/non-forest maps are commonly based on optical imagery. However, especially in the tropics optical images are frequently degraded by the presence of clouds. Therefore, we investigated the potential of hyper-tempo...
Conference Paper
With the launch of the two Sentinel-1 satellites, very dense synthetic aperture radar (SAR) time series have become available. These new time series allow to develop novel speckle supression algorithms. We propose a new speckle filter for hypertemporal SAR image stacks which only operates in the temporal domain. The filtering in the temporal domain...
Conference Paper
We want to present results of the Sentinel4REDD project. The overall aim of the Sentinel4REDD-Project is the development of new remote sensing based methods using Sentinel-1 and Sentinel-2 data to support UNFCC (United Nations Framework Convention on Climate Change) REDD+ MRV (Measurement, Reporting and Verification) Systems. We show results on the...
Article
Full-text available
The estimation of above-ground biomass (AGB) in boreal forests is of special concern as it constitutes the highest carbon pool in the northern hemisphere. Particularly, monitoring of the forests in the Russian Federation is important as some regions have not been inventoried for many years. This study explores the combination of multi-frequency, mu...
Article
Full-text available
Information on the spatial distribution of forest structure parameters (e.g., aboveground biomass, vegetation height) are crucial for assessing terrestrial carbon stocks and emissions. In this study, we sought to assess the potential and merit of multi-temporal dual-polarised L-band observations for vegetation height estimation in tropical deciduou...
Technical Report
Full-text available
In order to produce meaningful e-learning offers for the Earth observation (EO) sector, it is important to describe the heritage the educational tools and material that is utilized nowadays. This chapter gives some fundamental definitions of terms that are widely used in the field of online education. Furthermore, a historic overview of MOOCs is gi...
Article
Full-text available
Today, very dense synthetic aperture radar (SAR) time series are available through the framework of the European Copernicus Programme. These time series require innovative processing and preprocessing approaches including novel speckle suppression algorithms. Here we propose an image transform for hypertemporal SAR image time stacks. This proposed...
Article
Full-text available
Background Information on the spatial distribution of aboveground biomass (AGB) over large areas is needed for understanding and managing processes involved in the carbon cycle and supporting international policies for climate change mitigation and adaption. Furthermore, these products provide important baseline data for the development of sustaina...
Conference Paper
Full-text available
The REDD+ initiative increases the demand of tropical forest maps. However, optical remote sensing data are often hindered by clouds. Therefore, we propose an approach based on Sentinel-1 C-Band SAR time series. For this, we calculated multitemporal metrics and used them to derive forest cover over two study sites in Mexico. Additionaly, we assume...
Article
Full-text available
The use of optical remote sensing data for savanna vegetation structure mapping is hindered by sparse and heterogeneous distribution of vegetation canopy, leading to near-similar spectral signatures among lifeforms. An additional challenge to optical sensors is the high cloud cover and unpredictable weather conditions. Longwave microwave data, with...
Article
Full-text available
Accurate estimates of aboveground biomass (AGB) are crucial to assess terrestrial C-stocks and C-emissions as well as to develop sustainable forest management strategies. In this study we used Synthetic Aperture Radar (SAR) data acquired at L-band and the Landsat tree cover product together with Moderate Resolution Image Spectroradiometer (MODIS) n...
Article
Woody vegetation cover affects several ecosystem processes including carbon and water cycling, energy fluxes, and fire regimes. In order to understand the dynamics of savanna ecosystems, information on the spatial distribution of woody vegetation over large areas is needed. In this study we sought to assess multi-temporal ALOS PALSAR L-band backsca...

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Projects

Projects (3)
Project
Different approaches (machine learning, OBIA) are applied to find the best method for the modelling of wetland dynamics in the brazilian Amazon forest.
Project
The overall aim of the Sentinel4REDD-Project is the development of new remote sensing methods to detect and measure deforestation and forest degradation. Therefore we use dense time series of Sentinel-1 and Sentinel-2 data.
Project
SAR education