Higher resolution satellite remote sensing and the impact on image mapping

1987 ◽  
Vol 16 ◽  
pp. 221-232
Author(s):  
Allen H. Watkins ◽  
June M. Thormodsgard
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Image Mapping ◽  
The Impact

Satellite remote sensing and anthropogenic pressures on biodiversity

2019 ◽  
pp. 51-65
Author(s):  
Nathalie Pettorelli
Keyword(s):  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Biological Diversity ◽  
Oil Spills ◽  
Habitat Degradation ◽  
Forest Degradation ◽  
Anthropogenic Pressures ◽  
Night Time ◽  
Run Off ◽  
The Impact

This chapter explores how satellite remote sensing can be employed to monitor a wide range of anthropogenic pressures which affect species and ecosystems, in both terrestrial and marine systems. First, it reviews the literature on the use of satellite data to monitor deforestation and forest degradation. It then explores how these data can be used to monitor fragmentation, which is another form of habitat degradation that can represent an important threat to the preservation of biological diversity. This is followed by a review of the use of satellite remote sensing information to monitor urbanisation, night-time light pollution, oil exploration and exploitation, mineral extraction activities, oil spills and run-off, and illegal fishing. The chapter concludes by discussing opportunities for satellite remote sensing to monitor and predict the impact of climate change on biodiversity.

The Massive New Year 2020 pyroCb Event in Australia: Observations of Unprecedented Stratospheric Smoke

2020 ◽  
Author(s):  
Michael Fromm ◽  
George Kablick III
Keyword(s):  
Remote Sensing ◽  
Pacific Northwest ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Early Spring ◽  
Fire Season ◽  
Smoke Plume ◽  
South Wales ◽  
Stratospheric Composition ◽  
The Impact

<p>The 2019/2020 fire season in Australia has been unusually energetic since early spring. In the last days of December and early January an unprecedented number of pyrocumulonimbus (pyroCb) storms erupted in New South Wales and Victoria, creating a seemingly unrivaled stratospheric smoke plume as well as devastation on the ground. Preliminary indications from satellite remote sensing are that the clustering of active pyroCbs and smoke injection heights exceeded all previous Australian pyroCb events, and perhaps pyroCb events worldwide. Similar to another extraordinary pyroCb event, the so-called Pacific Northwest Event in 2017, the Australian smoke plume has been observed to rise above its injection altitude by several kilometers. We report on the active blowups and quantify the impact on stratospheric composition using satellite remote sensing. Our analysis also consists of a quantitative comparison of the 2019/20 Australian pyrocb event with other major pyroCb events such as Black Saturday, Victoria, Australia in 2009. At the time of submission of this abstract, this is an unfolding episode; our report will characterize the unusual nature of this pyroCb event as the evolving plume and satellite remote sensing data permit.</p>

scholarly journals A novel methodology for large-scale daily assessment of the direct radiative forcing of smoke aerosols

2015 ◽  
Vol 15 (10) ◽  
pp. 5471-5483 ◽  
Author(s):  
E. T. Sena ◽  
P. Artaxo
Keyword(s):  
Remote Sensing ◽  
Spatial Distribution ◽  
Radiative Transfer ◽  
Biomass Burning ◽  
Satellite Remote Sensing ◽  
Radiative Forcing ◽  
High Temporal Resolution ◽  
Radiation Balance ◽  
Direct Radiative Forcing ◽  
The Impact

Abstract. A new methodology was developed for obtaining daily retrievals of the direct radiative forcing of aerosols (24h-DARF) at the top of the atmosphere (TOA) using satellite remote sensing. Simultaneous CERES (Clouds and Earth's Radiant Energy System) shortwave flux at the top of the atmosphere and MODIS (Moderate Resolution Spectroradiometer) aerosol optical depth (AOD) retrievals were used. To analyse the impact of forest smoke on the radiation balance, this methodology was applied over the Amazonia during the peak of the biomass burning season from 2000 to 2009. To assess the spatial distribution of the DARF, background smoke-free scenes were selected. The fluxes at the TOA under clean conditions (Fcl) were estimated as a function of the illumination geometry (θ0) for each 0.5° × 0.5° grid cell. The instantaneous DARF was obtained as the difference between the clean (Fcl (θ0)) and the polluted flux at the TOA measured by CERES in each cell (Fpol (θ0)). The radiative transfer code SBDART (Santa Barbara DISORT Radiative Transfer model) was used to expand instantaneous DARFs to 24 h averages. This new methodology was applied to assess the DARF both at high temporal resolution and over a large area in Amazonia. The spatial distribution shows that the mean 24h-DARF can be as high as −30 W m−2 over some regions. The temporal variability of the 24h-DARF along the biomass burning season was also studied and showed large intraseasonal and interannual variability. We showed that our methodology considerably reduces statistical sources of uncertainties in the estimate of the DARF, when compared to previous approaches. DARF assessments using the new methodology agree well with ground-based measurements and radiative transfer models. This demonstrates the robustness of the new proposed methodology for assessing the radiative forcing for biomass burning aerosols. To our knowledge, this is the first time that satellite remote sensing assessments of the DARF have been compared with ground-based DARF estimates.

The impact of conflict-driven cropland abandonment on food insecurity in South Sudan revealed using satellite remote sensing

Nature Food ◽  
2021 ◽  
Author(s):  
Victor Mackenhauer Olsen ◽  
Rasmus Fensholt ◽  
Pontus Olofsson ◽  
Rogerio Bonifacio ◽  
Van Butsic ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Food Insecurity ◽  
Satellite Remote Sensing ◽  
South Sudan ◽  
Cropland Abandonment ◽  
The Impact

scholarly journals Accurate Evaluation of Sea Surface Temperature Cooling Induced by Typhoons Based on Satellite Remote Sensing Observations

Water ◽  
2020 ◽  
Vol 12 (5) ◽  
pp. 1413
Author(s):  
Jiagen Li ◽  
Liang Sun ◽  
Yuanjian Yang ◽  
Hao Cheng
Keyword(s):  
Remote Sensing ◽  
Surface Temperature ◽  
Sea Surface Temperature ◽  
Satellite Remote Sensing ◽  
Mixed Layer Depth ◽  
Heat Content ◽  
Sea Surface ◽  
Northwest Pacific ◽  
Sst Cooling ◽  
The Impact

We introduce a novel method to accurately evaluate the satellite-observed sea surface temperature (SST) cooling induced by typhoons with complex tracks, which is widely used but only roughly calculated in previous studies. This method first records the typhoon forcing period and the SST response grid by grid, then evaluates the SST cooling in each grid by choosing the maximum decrease in SST within this time period. This grid-based flexible forcing date method can accurately evaluate typhoon-induced SST cooling and its corresponding date in each grid, as indicated by applying the method to the irregular track of Typhoon Lupit (2009) and three sequential typhoons in 2016 (Malakas, Megi, and Chaba). The method was used to accurately calculate the impact of Typhoon Megi by removing the influence of the other two typhoons. The SST cooling events induced by all typhoons in the northwest Pacific from 2004 to 2018 were extracted well using this method. Our findings provide new insights for accurately calculating the response of the ocean using multi-satellite remote sensing and simulation data, including the sea surface salinity, sea surface height, mixed layer depth, and the heat content of the upper levels of the ocean.

scholarly journals Some operational uses of satellite remote sensing and marine GIS for sustainable fisheries and aquaculture

2011 ◽  
Vol 68 (4) ◽  
pp. 687-695 ◽  
Author(s):  
Sei-Ichi Saitoh ◽  
Robinson Mugo ◽  
I Nyoman Radiarta ◽  
Shinsuke Asaga ◽  
Fumihiro Takahashi ◽  
...  
Keyword(s):  
Climate Change ◽  
Remote Sensing ◽  
Satellite Remote Sensing ◽  
Simple Algorithm ◽  
Climate Change Scenarios ◽  
Sustainable Fisheries ◽  
Intergovernmental Panel ◽  
Fishing Activity ◽  
Mizuhopecten Yessoensis ◽  
The Impact

Abstract Saitoh, S-I., Mugo, R., Radiarta, I N., Asaga, S., Takahashi, F., Hirawake, T., Ishikawa, Y., Awaji, T., In, T., and Shima, S. 2011. Some operational uses of satellite remote sensing and marine GIS for sustainable fisheries and aquaculture. – ICES Journal of Marine Science, 68: 687–695. An overview of satellite remote-sensing (SRS) operational applications in fisheries is presented, and includes two case studies illustrating the societal benefits of SRS. The first describes the use of satellite-based vessel monitoring systems (VMS) and SRS data in a skipjack tuna (Katsuwonus pelamis) fishery, including a simple algorithm for determining fishing activity from vessel speed. The second case study illustrates the application of remotely sensed information in determining the impact of climate change on site suitability for scallop (Mizuhopecten yessoensis) aquaculture. Global warming simulated according to Intergovernmental Panel on Climate Change scenarios had a significant impact on sites with the greatest suitability for scallop aquaculture. Some challenges in the field of fisheries information systems are also discussed.

scholarly journals Satellite remote sensing reveals a positive impact of living oyster reefs on microalgal biofilm development

2018 ◽  
Vol 15 (3) ◽  
pp. 905-918 ◽  
Author(s):  
Caroline Echappé ◽  
Pierre Gernez ◽  
Vona Méléder ◽  
Bruno Jesus ◽  
Bruno Cognie ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Time Series ◽  
Seasonal Variations ◽  
Satellite Remote Sensing ◽  
Vegetation Index ◽  
Positive Impact ◽  
Oyster Reefs ◽  
Inorganic Matter ◽  
Biofilm Development ◽  
The Impact

Abstract. Satellite remote sensing (RS) is routinely used for the large-scale monitoring of microphytobenthos (MPB) biomass in intertidal mudflats and has greatly improved our knowledge of MPB spatio-temporal variability and its potential drivers. Processes operating on smaller scales however, such as the impact of benthic macrofauna on MPB development, to date remain underinvestigated. In this study, we analysed the influence of wild Crassostrea gigas oyster reefs on MPB biofilm development using multispectral RS. A 30-year time series (1985–2015) combining high-resolution (30 m) Landsat and SPOT data was built in order to explore the relationship between C. gigas reefs and MPB spatial distribution and seasonal dynamics, using the normalized difference vegetation index (NDVI). Emphasis was placed on the analysis of a before–after control-impact (BACI) experiment designed to assess the effect of oyster killing on the surrounding MPB biofilms. Our RS data reveal that the presence of oyster reefs positively affects MPB biofilm development. Analysis of the historical time series first showed the presence of persistent, highly concentrated MPB patches around oyster reefs. This observation was supported by the BACI experiment which showed that killing the oysters (while leaving the physical reef structure, i.e. oyster shells, intact) negatively affected both MPB biofilm biomass and spatial stability around the reef. As such, our results are consistent with the hypothesis of nutrient input as an explanation for the MPB growth-promoting effect of oysters, whereby organic and inorganic matter released through oyster excretion and biodeposition stimulates MPB biomass accumulation. MPB also showed marked seasonal variations in biomass and patch shape, size and degree of aggregation around the oyster reefs. Seasonal variations in biomass, with higher NDVI during spring and autumn, were consistent with those observed on broader scales in other European mudflats. Our study provides the first multi-sensor RS satellite evidence of the promoting and structuring effect of oyster reefs on MPB biofilms.

scholarly journals Remote Sensing Imagery and GIS for Monitoring the Pyroclastic Material of Mount Sinabung

2020 ◽  
Vol 33 (2) ◽  
pp. 184-195
Author(s):  
Cahyadi Setiawan ◽  
Muzani Muzani ◽  
Warnadi Warnadi ◽  
Fauzi Ramadhoan A'Rachman ◽  
Qismaraga Qismaraga ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Land Cover ◽  
Satellite Remote Sensing ◽  
Remote Sensing Data ◽  
Pyroclastic Material ◽  
Landsat Images ◽  
Remote Sensing Imagery ◽  
Local Residents ◽  
Study Techniques ◽  
The Impact

The purpose of this study was to determine the extent of changes in land cover around the Mount Sinabung area after the 2009-2019 eruption by monitoring through remote sensing imagery and GIS. The method used in this research is descriptive quantitative. The technique of data collection used document study techniques by collecting Landsat images are among the widely used satellite remote sensing data and their spectral, spatial and temporal resolution made them useful input for mapping and planning projects (Sadidy et al. 1981). Changes in land cover that occurred around the Mount Sinabung area were dominated by pyroclastic material due to eruption. In addition, changes in land cover also occur due to the abandonment of potential lands, such as local residents who work in the plantation sector are forced to leave that, so they eventually turn into shrubs. The direction of the dominant pyroclastic material slides was directed towards the east-south and southeast of Mount Sinabung, where the area was dominated by the plantation sector. The impact of the eruption of Mount Sinabung was directly and indirectly. The total land cover changes due to pyroclastic material in 2010 was an area of 26.27 Ha, in 2014 it was 475.82 Ha, 2017 was 1339.75 Ha, and 2019 was 1196.11 Ha.

Study on the Coastal Dynamics and Morphology Evolution Based on Satellite Remote Sensing Imagery

2013 ◽  
Vol 718-720 ◽  
pp. 366-370
Author(s):  
Ming Xiao Xie ◽  
Yin Cai ◽  
Hua Yang
Keyword(s):  
Remote Sensing ◽  
Sediment Transport ◽  
Satellite Remote Sensing ◽  
Suspended Sediment Concentration ◽  
Sediment Concentration ◽  
Morphology Evolution ◽  
Coastal Dynamics ◽  
Depth Contour ◽  
Landsat Satellite ◽  
The Impact

By analyzing a series of LANDSAT satellite remote sensing imageries, the coastal dynamics and morphology evolution features of Shuidong Bay, China were studied. The results showed that the maximum surface suspended sediment concentration (SSC) could exceed 0.1kg/m3 in the interior bay. Within the 5m depth contour, the SSC values range from 0.01kg/m3 to 0.06kg/m3. From the 10m depth contour to the offshore, SSC values are less than 0.01kg/m3. The tidal currents have little contribution to the SSC, and the SSC variation is not significant between seasons. This feature shows that the coastal dynamics is weak, and the sediment transport is not active. Generally, the natural shoreline is relatively stable for coastal areas. However, under the impact of aquaculture reclamations in the bay, in over 30 years the total area of Shuidong Bay decreases by 12.8km2.

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