Crop mapping in West Africa is challenging, due to the unavailability of adequate satellite images (as a result excessive cloud cover), small agricultural fields and heterogeneous landscape. To address this challenge, we integrated high spatial resolution multi-temporal optical (RapidEye) dual polarized (VV/VH) SAR (TerraSAR-X) data map crops crop groups northwestern Benin using random forest classification algorithm. The overall goal was ascertain contribution region. A per-pixel overlaid...

Warming induced shifts in tundra vegetation composition and structure, including circumpolar expansion of shrubs, modifies ecosystem structure functioning with potentially global consequences due to feedback mechanisms between climate. Satellite-derived indices indicate widespread greening the surface, often associated regional evidence shrub obtained from long-term ecological monitoring repeated orthophotos. However, explicitly quantifying across large scales using satellite observations...

The fast and accurate yield estimates with the increasing availability variety of global satellite products rapid development new algorithms remain a goal for precision agriculture food security. However, consistency reliability suitable methodologies that provide crop outcomes still need to be explored. study investigates coupling modeling machine learning (ML) improve prediction winter wheat (WW) oil seed rape (OSR) provides examples Free State Bavaria (70,550 km 2 ), Germany, in 2019....

The appearance of objects and surfaces in synthetic aperture radar (SAR) images significantly differs from the human perception environment. In addition, quality SAR data is degraded by speckle noise, superposing true radiometric textural information image. Hence, interpretation considered to be more challenging compared analysis optical data. However, this paper, we demonstrate how on local development can used for differentiation basic land cover (LC) types a single-polarized For that...

Illegal small-scale mining (galamsey) in South-Western Ghana has grown tremendously the last decade and caused significant environmental degradation. Excessive cloud cover area limited use of optical remote sensing data to map monitor extent these activities. This study investigated annual time-series Sentinel-1 illegal activities along major rivers between 2015 2019. A change detection approach, based on three features—minimum, mean, maximum—was used compute a backscatter threshold value...

Agroforestry systems (AFS) offer viable solutions for climate change because of the aboveground biomass (AGB) that is maintained by tree component. Therefore, spatially explicit estimation their AGB crucial reporting emission reduction efforts, which can be enabled using remote sensing (RS) data and methods. However, multiple factors including spatial distributions within AFS, structure, composition, variable extents hinder an accurate RS-assisted across AFS. The aim this study to (i)...

The increasing availability and variety of global satellite products provide a new level data with different spatial, temporal, spectral resolutions; however, identifying the most suited resolution for specific application consumes increasingly more time computation effort. region’s cloud coverage additionally influences choice best trade-off between spatial temporal resolution, pixel sizes remote sensing (RS) may hinder accurate monitoring land cover (LC) classes such as agriculture,...

River deltas belong to the most densely settled places on earth. Although they only account for 5% of global land surface, over 550 million people live in deltas. These preferred livelihood locations, which feature flat terrain, fertile alluvial soils, access fluvial and marine resources, a rich wetland biodiversity other advantages are, however, threatened by numerous internal external processes. Socio-economic development, urbanization, climate change induced sea level rise, as well flood...

Grasslands cover one-third of the agricultural area in Germany and play an important economic role by providing fodder for livestock. In addition, they fulfill ecosystem services, such as carbon storage, water purification, provision habitats. These services usually depend on grassland management. central Europe, grasslands are grazed and/or mown, whereby management type intensity vary space time. Spatial information mowing timing frequency larger scales not available but would be required...

Arctic permafrost coasts become increasingly vulnerable due to environmental drivers such as the reduced sea-ice extent and duration well thawing of itself. A continuous quantification erosion process on large circum-Arctic scales is required fully assess understand consequences eroding coastlines. This study presents a novel approach quantify annual coastal build-up rates based Sentinel-1 (S1) Synthetic Aperture RADAR (SAR) backscatter data, in combination with Deep Learning (DL) Change...

The increasing availability and variety of global satellite products the rapid development new algorithms has provided great potential to generate a level data with different spatial, temporal, spectral resolutions. However, ability these synthetic spatiotemporal datasets accurately map monitor our planet on field or regional scale remains underexplored. This study aimed support future research efforts in estimating crop yields by identifying optimal spatial (10 m, 30 250 m) temporal (8 16...

Capturing the phenological responses of crops in diverse, small-scale agricultural systems is one most notable remote sensing research gaps Eastern Africa. Because heterogeneous and complex environments, methodologies successfully implemented elsewhere yield poor results The reliance on local rainfall dry spells can lead to alterations planting patterns, impacting growing season timing yield, underscoring importance high temporal resolution for capturing crop phenology. We generated a...

In this work the potential of polarimetric Synthetic Aperture Radar (PolSAR) data dual-polarized TerraSAR-X (HH/VV) and quad-polarized Radarsat-2 was examined in combination with multispectral Landsat 8 for unsupervised supervised classification tundra land cover types Richards Island, Canada. The accuracies as well backscatter reflectance characteristics were analyzed using reference collected during three field campaigns include situ high resolution airborne photography. optical offered an...

Wildfire spread models are an essential tool for mitigating catastrophic effects associated with wildfires. However, current operational suffer from significant limitations regarding accuracy and transferability. Recent advances in the availability capability of Earth observation data artificial intelligence offer new perspectives data-driven modeling approaches potential to overcome existing limitations. Therefore, this study developed a Deep Learning wildfire approach based on...

Air temperatures in the Arctic have increased substantially over last decades, which has extensively altered properties of land surface. Capturing state and dynamics Land Surface Temperatures (LSTs) at high spatial detail is interest as LST dependent on a variety surficial characterizes land–atmosphere exchange energy. Accordingly, this study analyses influence different physical surface long-term mean summer Mackenzie Delta Region (MDR) using Landsat 30 m-resolution imagery between 1985...

Abstract. Snow cover (SC) and timing of snowmelt are key regulators a wide range Arctic ecosystem functions. Both strongly influenced by the amplified warming essential variables to understand environmental changes their dynamics. This study evaluates potential Sentinel-1 (S-1) synthetic aperture radar (SAR) time series for monitoring SC depletion with high spatiotemporal resolution capture understudied small-scale heterogeneity. We use 97 dual-polarized S-1 SAR images acquired over...

Recent research indicates an inverse relation between Synthetic Aperture Radar (SAR) signal and near-surface soil moisture (SM) over very dry sediments, arid to hyper-arid soils resp., caused by subsurface scattering effects. This phenomenon can lead large errors when it comes modelling remote sensing-based estimation of SM. While the effect its influence on SM estimates is well described modelled in literature, actual presence recorded SAR data largely unknown. Here we investigate C-Band...

In this study, polarimetric Synthetic Aperture Radar (PolSAR) data at X-, C- and L-Bands, acquired by the satellites: TerraSAR-X (2011), Radarsat-2 ALOS (2010) ALOS-2 (2016), were used to characterize tundra land cover of a test site located close town Tuktoyaktuk, NWT, Canada. Using available in situ ground collected 2010 2012, we investigate PolSAR scattering characteristics common classes L-Bands. Several decomposition features quad-, co-, cross-polarized compared, correlation between...

This study compares the performance of five widely used crop growth models (CGMs): World Food Studies (WOFOST), Coalition for Environmentally Responsible Economies (CERES)-Wheat, AquaCrop, cropping systems simulation model (CropSyst), and semi-empiric light use efficiency approach (LUE) prediction winter wheat biomass on Durable Environmental Multidisciplinary Monitoring Information Network (DEMMIN) test site, Germany. The focuses remote sensing (RS) data, acquired in 2015, CGMs, as they...

This study presents results on the internal structure and recent dynamics of a thrust moraine complex in Zay Valley (Italian Alps) by means geophysical surveying remote sensing time series. Results from electrical resistivity tomography, seismic refraction ground-penetrating radar as well four-phase modeling approach provided detailed information confirmed presence partly ice-rich permafrost within buried massive ice sedimentary origin proximal flank. The use Synthetic Aperture Radar...

Vietnam’s 3260 km coastline is densely populated, experiences rapid urban and economic growth, faces at the same time a high risk of coastal hazards. Satellite archives provide free powerful opportunity for long-term area-wide monitoring zone. This paper presents an automated analysis dynamics from 1986 to 2021 entire zone using Landsat archive. The proposed method implemented within cloud-computing platform Google Earth Engine only involve publicly globally available datasets tools. We...

Sufficient plant-available water is one of the most important requirements for vital, stable, and well-growing forest stands. In face climate change, there are various approaches to derive recommendations considering tree species selection based on provided by measurements or simulations. Owing small-parcel management Central European forests as well small-spatial variation soil stand properties, in situ data collection individual stands large areas not feasible, time cost effort. This...

Mega city Mexico City is ranked the third largest urban agglomeration to date around globe. The large extension as well dynamic transformation and sprawl processes lead a lack of up-to-date area-wide data information measure, monitor, understand situation. This paper focuses on capabilities multisensoral remotely sensed provide broad range products derived from one scientific field - remote sensing support managing planning. Therefore optical sets Landsat Quickbird sensors radar Shuttle...