Preface: The Environmental Mapping and Analysis Program (EnMAP) Mission: Preparing for Its Scientific Exploitation

Foerster, Saskia; Carrère, V.; Rast, M.; Stáenz, K.

doi:10.3390/rs8110957

Cited by 14 publications

(13 citation statements)

References 31 publications

(31 reference statements)

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“…By combining CWC monitoring with field inventory, it should be possible to develop predictions of vegetation vulnerability to drought. In the future, several hyperspectral systems are planned to be operational in satellite missions, such as EnMAP (Foerster et al 2016) and HyspIRI, which would provide the required temporal sampling, overcoming the limited temporal and spatial coverage. These proposed platforms can be integrated with HiFIS and LiDAR airborne data for evaluating species composition phenological and physiological changes.…”

Section: Controls Over Canopy Water Contentmentioning

confidence: 99%

Drivers of woody canopy water content responses to drought in a Mediterranean‐type ecosystem

Paz‐Kagan

Asner

2017

Ecological Applications

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Severe droughts increase physiological stress in woody plant species, which can lead to mortality, fundamentally altering the composition, structure, and biogeography of forests in many regions. Little is known, however, about the factors determining the physiological response of woody plants to drought at landscape scales. Our objective was to understand woody plant species responses to ongoing changes in climate, using remotely sensed canopy water content (CWC) as an indicator of plant physiological and phenological status. We used fused imaging spectroscopy and light detection and ranging from the Carnegie Airborne Observatory to quantify the factors affecting species compositional changes in CWC in a diverse Mediterranean-type ecosystem (Jasper Ridge Biological Preserve, California, USA) between 2013 and 2015. Mapped CWC was spatially variable in both of the observation years, and proved to be most closely tied to species composition and distribution across the landscape. The secondary predictors of CWC were elevation and soil substrate. In contrast, we found that CWC change was much more related to environmental factors than to the species composition. We suggest that the effect of environment on CWC change is mediated through species resistance and resilience to drought. Monitoring CWC change with imaging spectroscopy is a powerful approach to identifying species-level responses to climatic events and long-term change, which may provide support for policy decisions and conservation at large spatial scales.

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Section: Controls Over Canopy Water Contentmentioning

confidence: 99%

Drivers of woody canopy water content responses to drought in a Mediterranean‐type ecosystem

Paz‐Kagan

Asner

2017

Ecological Applications

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“…Using satellite images to predict total grass biomass production based leaf area index (LAI) showed a variable fit, with R 2 values between 0.4 and 0.55 when using spectra from different dates [32]. The addition of the ENMAP hyperspectral satellite will provide with new information at a high spectral but only a medium spatial (30 m) resolution [24], which can be combined with the presently available satellites (e.g., Sentinel-2, Landsat 8) to improve the monitoring of grasslands in high latitudes. Simulated Sentinel-2 images (10 m) fused (pan-sharpened) with simulated EnMAP data showed encouraging results (R 2 = 0.68) concerning wheat leaf area index [51,52].…”

Section: Discussionmentioning

confidence: 99%

“…Continually improved Earth observation satellites are used to assess grassland biomass, including multispectral satellites such as Sentinel 2 [23] and hyperspectral satellites such as EnMap [24], to be launched in 2020. While satellite images do not provide fine-resolution data on above-ground biomass production, they can inform about the general biomass production at a field level.…”

Section: Introductionmentioning

confidence: 99%

“…The major advantage that EnMap brings is the improvement from multispectral data (13 bands) obtained from Sentinel 2 to hyperspectral data (240 narrow bands), which is currently costly to obtain. This will open up new avenues to develop more robust models to measure biomass [29], and improve the remote-sensed measurements of other parameters such as plant nitrogen [30] or water stress [31] at regional scales due to its high spectral resolution (a total of 240 bands in the 400-2450 nm range [24]). Satellite remote-sensed data with reasonable temporal and spatial resolution can be used for monitoring grass growth and quality attributes of grassland, help detect regions, fields or parts of fields in need of different management strategies, where the use of resources at a local scale can be optimized afterwards [32].…”

Section: Introductionmentioning

confidence: 99%

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Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in Grasslands at High Latitudes

et al. 2019

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Ruminant fodder production in agricultural lands in latitudes above the Arctic Circle is constrained by short and hectic growing seasons with a 24-hour photoperiod and low growth temperatures. The use of remote sensing to measure crop production at high latitudes is hindered by intrinsic challenges, such as a low sun elevation angle and a coastal climate with high humidity, which influences the spectral signatures of the sampled vegetation. We used a portable spectrometer (ASD FieldSpec 3) to assess spectra of grass crops and found that when applying multivariate models to the hyperspectral datasets, results show significant predictability of yields (R2 > 0.55, root mean squared error (RMSE) < 180), even when captured under sub-optimal conditions. These results are consistent both in the full spectral range of the spectrometer (350–2500 nm) and in the 350–900 nm spectral range, which is a region more robust against air moisture. Sentinel-2A simulations resulted in moderately robust models that could be used in qualitative assessments of field productivity. In addition, simulation of the upcoming hyperspectral EnMap satellite bands showed its potential applicability to measure yields in northern latitudes both in the full spectral range of the satellite (420–2450 nm) with similar performance as the Sentinel-2A satellite and in the 420–900 nm range with a comparable reliability to the portable spectrometer. The combination of EnMap and Sentinel-2A to detect fields with low productivity and portable spectrometers to identify the fields or specific regions of fields with the lowest production can help optimize the management of fodder production in high latitudes.

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“…Thus, the above-mentioned images were purposefully selected due to the highly spatially-detailed information content, which aids in overcoming the complexities associated with urban landscapes, such as those in the selected study area. Moreover, [38] argue that low-resolution multispectral images have proven to be insufficient for urban land-use change analysis given their inability to satisfactorily account for pixel heterogeneity. The acquired images, which were drawn from different sensors along with slightly different acquisition dates, were ortho-rectified, geometrically corrected, and geo-referenced in Universal Transverse Mercator from the source and delivered as composites.…”

Section: Methods and Data Sourcesmentioning

confidence: 99%

Unravelling the Frontiers of Urban Growth: Spatio-Temporal Dynamics of Land-Use Change and Urban Expansion in Greater Accra Metropolitan Area, Ghana

Akubia

Bruns

2019

Land

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This study analyzed and assessed spatio-temporal dynamics of land-use change (LUC) and urban expansion (UE) within the Greater Accra Metropolitan Area (GAMA) of Ghana. This region serves as a case to illustrate how a major economic hub and political core area is experiencing massive spatial transformations, resulting in uneven geographies of urban land expansion. Quickbird/Worldview-2 images for the years 2008 and 2017 were segmented and classified to produce LUC maps. LUC and UE were analyzed by post-classification change detection and spatial metrics, respectively. The results revealed an intensive decrease in open-space by 83.46 km2, brushland/farmland (194.29 km2) and waterbody/wetland (3.32 km2). Conversely, forestland and urban built-up area increased by 3.45 km2 and 277.62 km2. Urban extent expanded from 411.45 km2 (27%) in 2008 to 689.07 km2 (46%) in 2017 at a rate of 5.9% and an intensity of 2.06% with an expansion coefficient of 1.5%, indicating low-density urban sprawl. The spatial pattern turned out to be an uneven and spatially differentiated outward expansion, which materialized mainly in districts located within the urban peripheries but intensely towards eastern and western directions, being the frontier and the hotspots of urbanization. Overall, the findings bear important implications for regional spatial planning and development.

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Preface: The Environmental Mapping and Analysis Program (EnMAP) Mission: Preparing for Its Scientific Exploitation

Cited by 14 publications

References 31 publications

Drivers of woody canopy water content responses to drought in a Mediterranean‐type ecosystem

Drivers of woody canopy water content responses to drought in a Mediterranean‐type ecosystem

Yield Estimates by a Two-Step Approach Using Hyperspectral Methods in Grasslands at High Latitudes

Unravelling the Frontiers of Urban Growth: Spatio-Temporal Dynamics of Land-Use Change and Urban Expansion in Greater Accra Metropolitan Area, Ghana

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