Academic literature on the topic 'Remote sensing – Alberta, Southern'

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Journal articles on the topic "Remote sensing – Alberta, Southern"

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Major, D. J., H. H. Janzen, S. M. McGinn, and B. M. Olson. "Reflectance characteristics of southern Alberta soils." Canadian Journal of Soil Science 72, no. 4 (1992): 611–15. http://dx.doi.org/10.4141/cjss92-051.

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The reliability of reflectivity measurements for the remote sensing of crop productivity may be compromised by possible confounding effects of variation in soil color. An experiment was conducted to determine the influence of selected soil characteristics on reflectance in a broad range of soils typical of those found in southern Alberta. The reflectance of ground (< 2 mm) subsamples of 36 soils previously relocated to a common field site at Lethbridge Alberta was measured indoors with an artificial light source and a 60° field of view. Reflectance was measured between 400 and 1100 nm at 5-nm intervals. Reflectance of ground soils was strongly correlated to that of measurements in the field (r2 = 0.99), though values from the former were consistently higher. Soil reflectance declined with increasing organic carbon content in a quadratic relationship. Furthermore, there was a positive linear correlation between reflectance and soil carbonate content. Variation in organic C and carbonate accounted for 60% of the variability in reflectance among soils, based on multiple regression analysis. These findings confirm that soil carbon exerts a significant effect on reflectance and that reliable estimates of crop productivity by remote sensing requires correction for variable soil reflectance. Key words: Remote sensing, visible infrared reflectance, organic carbon
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Ren, Xiaomeng. "Remote Sensing, Crop Yield Estimation and Agricultural Vulnerability Assessment: a Case of Southern Alberta." Open Hydrology Journal 6, no. 1 (2012): 68–77. http://dx.doi.org/10.2174/1874378101206010068.

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MAJOR, D. J., S. SMOLIAK, G. ASRAR, and E. T. KANEMASU. "ANALYSIS OF SPECTRAL DATA FOR COMPARING RANGELAND AND CULTURAL PRACTICES IN SOUTHERN ALBERTA." Canadian Journal of Plant Science 68, no. 4 (1988): 1017–23. http://dx.doi.org/10.4141/cjps88-123.

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Spectral reflectance characteristics of rangeland provide quantitative and qualitative information which can be useful for assessing range condition and phytomass. The data set in this study consisted of phytomass estimates and ground-based reflectance measurements in four wave bands between 0.5 and 1.1 μm taken from eight range improvement treatments near Lethbridge, Alberta from April through July in 1983 and 1984. The treatments consisted of subjecting native range to reseeding with grasses or legumes and fertilizer and herbicide additions. Spectral reflectance was highly correlated (R2 = 0.82 – 0.99) with the seasonal trajectory of phytomass production in spite of low amounts of green vegetation and high amounts of senescent vegetation. The data were analyzed by determining the relationship between accumulated phytomass and intercepted photosynthetically active radiation calculated from canopy reflectance. The regression coefficient of this relationship was an estimate of photochemical efficiency. The estimates of photochemical efficiency (1.09 and 0.76 g MJ−1 in 1983 and 1984, respectively) were lower than those reported in the literature (1.4 g MJ−1), presumably due to moisture stress in both years.Key words: Mixed prairie, short-grass, biomass, phytomass, remote sensing
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Hassan, Quazi K., Ifeanyi R. Ejiagha, M. Razu Ahmed, Anil Gupta, Elena Rangelova, and Ashraf Dewan. "Remote Sensing of Local Warming Trend in Alberta, Canada during 2001–2020, and Its Relationship with Large-Scale Atmospheric Circulations." Remote Sensing 13, no. 17 (2021): 3441. http://dx.doi.org/10.3390/rs13173441.

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Here, the objective was to study the local warming trend and its driving factors in the natural subregions of Alberta using a remote-sensing approach. We applied the Mann–Kendall test and Sen’s slope estimator on the day and nighttime MODIS LST time-series images to map and quantify the extent and magnitude of monthly and annual warming trends in the 21 natural subregions of Alberta. We also performed a correlation analysis of LST anomalies (both day and nighttime) of the subregions with the anomalies of the teleconnection patterns, i.e., Pacific North American (PNA), Pacific decadal oscillation (PDO), Arctic oscillation (AO), and sea surface temperature (SST, Niño 3.4 region) indices, to identify the relationship. May was the month that showed the most significant warming trends for both day and night during 2001–2020 in most of the subregions in the Rocky Mountains and Boreal Forest. Subregions of Grassland and Parkland in southern and southeastern parts of Alberta showed trends of cooling during daytime in July and August and a small magnitude of warming in June and August at night. We also found a significant cooling trend in November for both day and night. We identified from the correlation analysis that the PNA pattern had the most influence in the subregions during February to April and October to December for 2001–2020; however, none of the atmospheric oscillations showed any significant relationship with the significant warming/cooling months.
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Rahaman, Khan Rubayet, M. Razu Ahmed, and Quazi K. Hassan. "Using Satellite-Borne Remote Sensing Data in Generating Local Warming Maps with Enhanced Resolution." ISPRS International Journal of Geo-Information 7, no. 10 (2018): 398. http://dx.doi.org/10.3390/ijgi7100398.

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Warming, i.e., increments of temperature, is evident at the global, regional, and local level. However, understanding the dynamics of local warming at high spatial resolution remains challenging. In fact, it is very common to see extremely variable land cover/land use within built-up environments that create micro-climatic conditions. To address this issue, our overall goal was to generate a local warming map for the period 1961–2010 at 15 m spatial resolution over the southern part of the Canadian province of Alberta. Our proposed methods consisted of three distinct steps. These were the: (i) construction of high spatial resolution enhanced vegetation index (EVI) and normalized difference vegetation index (NDVI) maps; (ii) conversion of air temperature (Ta) normal (i.e., 30 years average) at higher spatial resolution using vegetation indices (VI); and (iii) generation of a local warming map at 15m spatial resolution. In order to execute this study, we employed MODIS-driven air temperature data, EVI and NDVI data, and Landsat-driven vegetation indices. The study uncovered that around 58% (up to positive 1 °C) of areas in the considered study region were experiencing increased temperature; whereas only about 4% of areas underwent a cooling trend (more than negative 0.25 °C). The remaining 38% did not exhibit significant change in temperature. We concluded that remote sensing technology could be useful to enhance the spatial resolution of local warming maps, which would be useful for decision-makers considering efficient decisions in the face of increments in local temperature.
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Mirzaei, Mojgan, Stefania Bertazzon, and Isabelle Couloigner. "Modeling Wildfire Smoke Pollution by Integrating Land Use Regression and Remote Sensing Data: Regional Multi-Temporal Estimates for Public Health and Exposure Models." Atmosphere 9, no. 9 (2018): 335. http://dx.doi.org/10.3390/atmos9090335.

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To understand the health effects of wildfire smoke, it is important to accurately assess smoke exposure over space and time. Particulate matter (PM) is a predominant pollutant in wildfire smoke. In this study, we develop land-use regression (LUR) models to investigate the impact that a cluster of wildfires in the northwest USA had on the level of PM in southern Alberta (Canada), in the summer of 2015. Univariate aerosol optical depth (AOD) and multivariate AOD-LUR models were used to estimate the level of PM2.5 in urban and rural areas. For epidemiological studies, it is also important to distinguish between wildfire-related PM2.5 and PM2.5 originating from other sources. We therefore subdivided the study period into three sub-periods: (1) Pre-fire, (2) during-fire, and (3) post-fire. We then developed separate models for each sub-period. With this approach, we were able to identify different predictors significantly associated with smoke-related PM2.5 verses PM2.5 of different origin. Leave-one-out cross-validation (LOOCV) was used to evaluate the models’ performance. Our results indicate that model predictors and model performance are highly related to the level of PM2.5, and the pollution source. The predictive ability of both uni- and multi-variate models were higher in the during-fire period than in the pre- and post-fire periods.
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Franklin, S. E., M. J. Hansen, and G. B. Stenhouse. "Quantifying landscape structure with vegetation inventory maps and remote sensing." Forestry Chronicle 78, no. 6 (2002): 866–75. http://dx.doi.org/10.5558/tfc78866-6.

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Two input maps based on Alberta Vegetation Inventory (AVI) data and Landsat satellite imagery were generated for use in a fragmentation analysis of a large area in the Alberta Yellowhead Ecosystem to support long-term grizzly bear habitat analysis. Accuracy was assessed using visual interpretation of classes on digital orthophotography. Approximately 45% map accuracy was obtained after applying a generalization procedure to the available AVI GIS database. Approximately 80% map accuracy was achieved used a supervised classification approach applied to the Landsat image. Differences in accuracy were most apparent in non-treed vegetation classes (e.g., shrub), closed conifer, mixedwood and deciduous forest classes. Very large differences were observed in many of the landscape metrics computed from these two maps to quantify landscape structure. Simulating forest changes on these maps illustrated the difficulty of comparing maps generated with different geospatial technologies. Key words: fragmentation, satellite remote sensing, GIS vegetation inventory maps, landscape metrics
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Clark, C. D., S. M. Garrod, and M. Parker Pearson. "Landscape archaeology and remote sensing in southern Madagascar." International Journal of Remote Sensing 19, no. 8 (1998): 1461–77. http://dx.doi.org/10.1080/014311698215298.

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RAMASAMY, S. M., and S. BALAJI. "Remote sensing and Pleistocene tectonics of Southern Indian peninsula." International Journal of Remote Sensing 16, no. 13 (1995): 2375–91. http://dx.doi.org/10.1080/01431169508954564.

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Archibald, S., R. J. Scholes, D. P. Roy, G. Roberts, and L. Boschetti. "Southern African fire regimes as revealed by remote sensing." International Journal of Wildland Fire 19, no. 7 (2010): 861. http://dx.doi.org/10.1071/wf10008.

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Here we integrate spatial information on annual burnt area, fire frequency, fire seasonality, fire radiative power and fire size distributions to produce an integrated picture of fire regimes in southern Africa. The regional patterns are related to gradients of environmental and human controls of fire, and compared with findings from other grass-fuelled fire systems on the globe. The fire regime differs across a gradient of human land use intensity, and can be explained by the differential effect of humans on ignition frequencies and fire spread. Contrary to findings in the savannas of Australia, there is no obvious increase in fire size or fire intensity from the early to the late fire season in southern Africa, presumably because patterns of fire ignition are very different. Similarly, the importance of very large fires in driving the total annual area burnt is not obvious in southern Africa. These results point to the substantial effect that human activities can have on fire in a system with high rural population densities and active fire management. Not all aspects of a fire regime are equally impacted by people: fire-return time and fire radiative power show less response to human activities than fire size and annual burned area.
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Dissertations / Theses on the topic "Remote sensing – Alberta, Southern"

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Rolfson, David, and University of Lethbridge Faculty of Arts and Science. "Collection of endmembers and their separability for spectral unmixing in rangeland applications." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Geography, 2010, 2010. http://hdl.handle.net/10133/2527.

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Rangelands are an important resource to Alberta. Due to their size, mapping rangeland features is difficult. However, the use of aerial and satellite data for mapping has increased the area that can be studied at one time. The recent success in applying hyperspectral data to vegetation mapping has shown promise in rangeland classification. However, classification mapping of hyperspectral data requires existing data for input into classification algorithms. The research reported in this thesis focused on acquiring a seasonal inventory of in-situ reflectance spectra of rangeland plant species (endmembers) and comparing them to evaluate their separability as an indicator of their suitability for hyperspectral image classification analysis. The goals of this research also included determining the separability of species endmembers at different times of the growing season. In 2008, reflectance spectra were collected for three shrub species (Artemisia cana, Symphoricarpos occidentalis, and Rosa acicularis), five rangeland grass species native to southern Alberta (Koeleria gracilis, Stipa comata, Bouteloua gracilis, Agropyron smithii, Festuca idahoensis) and one invasive grass species (Agropyron cristatum). A spectral library, built using the SPECCHIO spectral database software, was populated using these spectroradiometric measurements with a focus on vegetation spectra. Average endmembers of plant spectra acquired during the peak of sample greenness were compared using three separability measures – normalized Euclidean distance (NED), correlation separability measure (CSM) and Modified Spectral Angle Mapper (MSAM) – to establish the degree to which the species were separable. Results were normalized to values between 0 and 1 and values above the established thresholds indicate that the species were not separable . The endmembers for Agropyron cristatum, Agropyron smithii, and Rosa acicularis were not separable using CSM (threshold = 0.992) or MSAM (threshold = 0.970). NED (threshold = 0.950) was best able to separate species endmembers. Using reflectance data collected throughout the summer and fall, species endmembers obtained within two-week periods were analyzed using NED to plot their separability. As expected, separability of sample species changed as they progressed through their individual phenological patterns. Spectra collected during different solar zenith angles were compared to see if they affected the separability measures. Sample species endmembers were generally separable using NED during the periods in which they were measured and compared. However, Koeleria gracilis and Festuca idahoensis endmembers were inseparable from June to mid-August when measurements were taken at solar zenith angles between 25° – 30° and 45° – 60°. However, between 30° and 45°, Bouteloua gracilis and Festuca idahoensis endmembers, normally separable during other solar zenith angles, became spectrally similar during the same sampling period. Findings suggest that the choice of separability measures is an important factor when analyzing hyperspectral data. The differences observed in the separability results over time also suggest that the consideration of phenological patterns in planning data acquisition for rangeland classification mapping has a high level of importance.<br>xii, 93 leaves : ill. (some col.) ; 29 cm
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Ren, Xiaomeng, and University of Lethbridge Faculty of Arts and Science. "Agricultural vulnerability to drought in southern Alberta : a quantitative assessment." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2007, 2007. http://hdl.handle.net/10133/398.

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Agricultural vulnerability is generally referred to as the degree to which agricultural systems are likely to experience harm due to a stress. In this study, an existing analytical method to quantify vulnerability was adopted to assess the magnitude as well as the spatial pattern of agricultural vulnerability to varying drought conditions in Southern Alberta. Based on the farm reported data and remote sensing imagery, two empirical approaches were developed to implement vulnerability assessment in Southern Alberta at the quarter-section and 30 meter by 30 meter pixel levels. Cereal crop yield and the Standardized Precipitation Index (SPI) were specified as the agricultural wellbeing and stress pair in the study. Remote sensing data were used to generate cereal crop yield estimations, which were then implemented in vulnerability quantification. The utility of the remote sensing data source for vulnerability assessment were proved. The spatial pattern of agricultural vulnerability to different severity and duration of drought were mapped.<br>xii, 127 leaves : ill. ; 29 cm.
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Johnson, Ryan L., and University of Lethbridge Faculty of Arts and Science. "Airborne remote sensing of forest leaf area index in mountainous terrain." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2000, 2000. http://hdl.handle.net/10133/90.

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Leaf area index (LAI) provides forestry information that is important for regional scale ecological models and in studies of global change. This research examines the effects of mountainous terrain on the radiometric properties of multispectral CASI imagery in estimating ground-based optical measurements of LAI, obtained using the TRAC and LAI- 2000 systems. Field and image data were acquired summer 1998 in Kananaskis, Alberta, Canada. To account for the influence of terrain a new modified approach using the Li and Strahler Geometric Optical Mutual Shadowing (GOMS) model in 'multiple forward mode' (MFM) was developed. This new methodology was evaluated against four traditional radiometric corrections used in comination with spectral mixture analysis (SMA) and NDVI. The MFM approach provided the best overall predictions of LAI measured with ground-based optical instruments, followed by terrain normalized SMA, SMA without terrain normalization and NDVI.<br>xiv, 151 leaves : ill. (some col.), map ; 29 cm.
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Roy, Gairik. "Methodologies for mapping the spatial extent and fragmentation of grassland using optical remote sensing." Thesis, Lethbridge, Alta. : University of Lethbridge, Dept. of Physics and Astronomy, c2012, 2012. http://hdl.handle.net/10133/3316.

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Grassland is an important part of the ecosystem in the Canadian prairies and its loss and fragmentation affect biodiversity, as well as water and carbon fluxes at local and regional levels. Over the years, native grasslands have been lost to agricultural activities, urban development and oil and gas exploration. This research reports on new methodologies developed for mapping the spatial extent of native grasslands to an unprecedented level of detail and assessing how the grasslands are fragmented. The test site is in the Newell County region of Alberta (NCRA). 72 Landsat and 34 SPOT images from 1985 to 2008 were considered for the analysis. With an airport runway used as a pseudo-invariant feature (PIF), relative radiometric correction was applied to 17 Landsat and 8 SPOT images that included the same airport runway. All the images were classified using the Support Vector Machine (SVM) classification algorithm into grassland, crop, water and road infrastructure classes. The classification results showed an average of 98.2 % overall accuracy for Landsat images and SPOT images. Spatial extents and their temporal change were estimated for all the land cover classes after classifying the images. Fragmentation statistics were obtained using FRAGSTATS 3.3 software that calculated land cover pattern metrics (patch, class and landscape). Based on the available satellite image data, it is found that in Newell County there is almost no significant change found in the grassland and road infrastructure land cover in over two decades. Also, the fragmentation results suggest that fragmentation of grassland was not due to the result of road infrastructure.<br>x, 105 leaves : ill., ; 29 cm
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Quibell, G. E. "Remote sensing of algae in inland southern African waters." Thesis, Rhodes University, 1992. http://hdl.handle.net/10962/d1005440.

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Routine monitoring of algae in inland waters in southern Africa is a critical element in assessing the efficacy of eutrophication management options. Several authors have indicated that single point samples are not necessarily representative of conditions throughout the water body and some have suggested remote sensing as a means of overcoming this problem. Remote sensing of algae normally involves deriving the empirical relationship between radiance detected at a sensor, and contact sensed chlorophyll concentrations. Quantification of, or compensation for, contributions to the upwelling radiance other than that light reflected by the algae is critical for this approach. In southern Africa these contributions arise primarily from atmospheric effects and from scattering by sediments in the water. A review of the atmospheric correction models suggested that a cosine sun angle correction followed by dark pixel subtraction is the most feasible method to compensate for the former effects. Studies of the changes in upwelling radiance induced by addition of sediment to algal cultures indicated that subtraction of reflectance at ≈665nm from that at ≈700nm, may provide a means of compensating for the scattering by sediments. The disadvantage of this approach is that few sensor systems have narrow spectral bands centred at these wavelengths. Investigations of the nature of the reflectance from 5 algal species indicated that all had similar reflectance spectra, but the blue-green genera had a smaller peak at ≈650nm. Chlorophyll absorption at ≈665nm was evident by lower reflectance at this point, but the alga Microcystis sp. did not conform to the conceptual model of reflectance, in that reflectance at 665nm was higher at increased cell density. Spectra of natural waters confirmed the results obtained in the laboratory. Reflectance at ≈700nm showed the largest changes with increasing chlorophyll concentration and also had the highest correlations to chlorophyll concentrations. However, due to the strong absorption of these wavelengths by water, this reflectance peak only occurred when sufficient cells were found in the upper layers of water. Use of these wavelengths in remote sensing models should therefore be restricted to highly eutrophied waters. Although the reflectance spectra of different algae were similar, the amount of light scattered by each species (measured as turbidity) differed for any given chlorophyll concentration. This appeared to be due to the colonial nature of the cells and means that empirical models will be unique to the species on which they were developed. Comparisons of multispectral photography (MSP) and LANDSAT MSS imagery indicated the MSP data had higher correlations with chlorophyll concentrations than did the MSS data. Chlorophyll simulations from a test set of data using ordinary multiple regression showed that the MSP imagery had mean errors of 7.3M9/I, while that for the MSS imagery was 7.4M9/I. Similar tests using the canonical procedure produced larger mean errors of 9M9/I and 12M9/I for the MSP and MSS data respectively. This was due to the fact that the canonical procedure is not suitable for the spectral band widths of these sensors. In spite of similar simulation accuracies, the MSS imagery produced very patchy synoptic views. This was due to the lower variance (radiometric resolution) in the LANDSAT MSS data. This appears to be the most important criterion for accurate chlorophyll mapping in inland waters. Development of a single multidate algorithm for southern Africa is not yet feasible, and routine monitoring of chlorophyll using these techniques is impractical. However acceptable chlorophyll maps are possible if the model is recalibrated for each occasion and the sensor used has a high radiometric resolution.
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James, Allan R. "Remote sensing of seasonal variations in albedo over southern Britain." Thesis, University of Nottingham, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.278922.

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Benkhalti, Abdellah. "Mapping the Desertification Process in Southern Morocco Using Remote Sensing Data." TopSCHOLAR®, 1987. https://digitalcommons.wku.edu/theses/2149.

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Desertification is a problem occurring in arid and semiarid zones all over the world. It is a consequence of mismanagement of the land. Human activities and livestock pressure on such fragile ecosystems lead to a deterioration of the soil by increasing its salinity, lessening its moisture, and covering it with sand and dust. Aerial photographs and satellite images constitute a tool for mapping and monitoring the desertification process. Multispectral data can assist in detecting the indicators of desertification in early stages in order to plan adequate action. The improvement of the resolution of satellite images and the fact that they are available on a periodic basis make the use of these data suitable for mapping the evolution of desert patches at large scales. The green band of Landsat MSS is used in this study. Two images taken, respectively, in 1976 and 1985 and covering the province of Ouarzazate in southern Morocco are used to map the desertification process and its evolution in the region. At the scale used and given the ground resolution of the MSS (80 meters), significant changes were found between the two images. However, changes occurring at scale smaller than 80 meter square were impossible to detect by visual interpretation of this band.
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Lindsey, Eric Ostrom. "Fault properties, rheology and interseismic deformation in Southern California from high-precision space geodesy." Thesis, University of California, San Diego, 2015. http://pqdtopen.proquest.com/#viewpdf?dispub=3721663.

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<p> This dissertation presents the collection and processing of dense high-precision geode- tic data across major faults throughout Southern California. The results are used to inform numerical models of the long-term slip rate and interseismic behavior of these faults, as well as their frictional and rheological properties at shallow depths. The data include campaign surveys of dense networks of GPS monuments crossing the faults, and Interferometric Synthetic Aperture Radar (InSAR) observations from ENVISAT. Using a Bayesian framework, we first assess to what extent these data constrain relative fault slip rates on the San Andreas and San Jacinto faults, and show that the inferred parameters depend critically on the assumed fault geometry. We next look in detail at near-field observations of strain across the San Jacinto fault, and show that the source of this strain may be either deep anomalous creep or a new form of shallow, distributed yielding in the top few kilometers of the crust. On the San Andreas fault, we show that this type of shallow yielding does occur, and its presence or absence is controlled by variations in the local normal stress that result from subtle bends in the fault. Finally, we investigate shallow creep on the Imperial fault, and show that thanks to observations from all parts of the earthquake cycle it is now possible to obtain a strong constraint on the shallow frictional rheology and depth of the material responsible for creep. The results also suggest activity on a hidden fault to the West, whose existence has been previously suggested but never confirmed.</p>
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Shoemaker, Douglas A. "Remote sensing and simulation to estimate forest productivity in southern pine plantations." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011384.

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Buckler, Daniel C. "Post-Fire Forest Recovery on Sofa Mountain in Waterton Lakes National Park, Alberta, Canada." Youngstown State University / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1338325100.

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Books on the topic "Remote sensing – Alberta, Southern"

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Smith, D. G. Landforms of Alberta: Interpreted from airphotos and satellite imagery. Alberta Remote Sensing Center, Alberta Environment, 1987.

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Areendran, G. Vegetation types of the Southern Eastern Ghats: A remote sensing perspective. WWF-India, 2006.

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Sánchez-Azofeifa, Gerardo-Arturo. Woodland caribou (Rangifer tarandus caribou) habitat classification in northeastern Alberta using remote sensing. Alberta Sustainable Resource Development, 2001.

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Faechner, Ty. Evaluation of GPS yield mapping technology at reclaimed industrial sites in Alberta. Alberta Environment, 2006.

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Holder, Jack. Secrets of Sierra fishing: The ultimate guidebook to fifty of the best roadside trout fishing locations in Yosemite and the Southern Sierra Nevada. 2nd ed. Jack Holder and Haskell Cape Publishers, 2006.

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Thematic Conference on Remote Sensing for Exploration Geology. Proceedings of the Seventh Thematic Conference on Remote Sensing for Exploration Geology: Methods, integration, solutions : October 2-6, 1989, Calgary, Alberta, Canada. Environmental Research Institute of Michigan, 1989.

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Borstad, G. A. Water colour and temperature in the southern Beaufort Sea: Remote sensing in support of ecological studies of the bowhead whale. Western Region, Dept. of Fisheries and Oceans, 1985.

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M, Laws Lauren, ed. Alberta: Exploring Canada. Lucent Books, 2003.

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Thematic Conference on Remote Sensing for Exploration Geology (7th 1989 Calgary). Proceedings of the seventh thematic conference on remote sensing for exploration geology: Methods, integration, solutions, October 2-6, Calgary, Alberta, Canada. Environmental Research Institute of Michigan, 1989.

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Rocky Mountain Research Station (Fort Collins, Colo.), ed. Moderate-scale mapping methods of aspen stand types: A case study for Cedar Mountain in southern Utah. U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2011.

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Book chapters on the topic "Remote sensing – Alberta, Southern"

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Abdollahi, Masoud, Quazi K. Hassan, Ehsan H. Chowdhury, and Anil Gupta. "Exploring the Relationships between Topographical Elements and Forest Fire Occurrences in Alberta, Canada." In Remote Sensing of Hydrometeorological Hazards. CRC Press, 2017. http://dx.doi.org/10.1201/9781315154947-13.

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Youssef, Salma, Mayar A. Shafaey, and Mohammed A. M. Salem. "Egypt’s Remote Sensing Land Use Classification Using Deep Learning." In Southern Space Studies. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59158-8_5.

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Comiso, Josefino C., Thomas C. Grenfell, Manfred Lange, Alan W. Lohanick, Richard K. Moore, and Peter Wadhams. "Microwave remote sensing of the Southern Ocean ice cover." In Microwave Remote Sensing of Sea Ice. American Geophysical Union, 1992. http://dx.doi.org/10.1029/gm068p0243.

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Pappalardo, G., V. Cuomo, N. Spinelli, P. di Girolamo, V. Berardi, and R. Bruzzese. "Southern Italy Correlative Lidar Measurements for LITE." In Advances in Atmospheric Remote Sensing with Lidar. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_43.

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Pereira, José M. C., Adélia M. O. Sousa, Ana C. L. Sá, M. Pilar Martín, and Emilio Chuvieco. "Regional-scale burnt area mapping in Southern Europe using NOAA-AVHRR 1 km data." In Remote Sensing of Large Wildfires. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-642-60164-4_8.

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Oduor, Phoebe, Jaffer Ababu, Robinson Mugo, et al. "Land Cover Mapping for Green House Gas Inventories in Eastern and Southern Africa Using Landsat and High Resolution Imagery: Approach and Lessons Learnt." In Springer Remote Sensing/Photogrammetry. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-33438-7_4.

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Alvarez, Raul J., Shane D. Mayor, Christoph Senff, et al. "UV-DIAL Ozone Measurements During the 1995 Southern Oxidants Study." In Advances in Atmospheric Remote Sensing with Lidar. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60612-0_84.

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Huadong, Guo. "Ancient Villages in Southern Anhui—Xidi and Hongcun." In Atlas of Remote Sensing for World Heritage: China. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32823-7_14.

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Andala, Kwatsima Brian, and Ruth Khatioli Sirengo. "Integrating GIS and Remote Sensing for Suitability Assessment of Dams in Solai Nakuru: Kenya." In Southern Space Studies. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16016-6_16.

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Mosoeu, Tebello. "The Final Frontier: Considering the Right to Privacy in the Context of Remote Sensing." In Southern Space Studies. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-59158-8_3.

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Conference papers on the topic "Remote sensing – Alberta, Southern"

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Xu, Wei, Xiaomeng Ren, and Anne Smith. "Remote sensing, crop yield estimation and agricultural vulnerability assessment: A case of Southern Alberta." In 2011 19th International Conference on Geoinformatics. IEEE, 2011. http://dx.doi.org/10.1109/geoinformatics.2011.5980692.

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Oltean, I. A., and W. S. Hanson. "Reconstructing the archaeological landscape of Southern Dobrogea: integrating imagery." In Remote Sensing, edited by Manfred Ehlers and Ulrich Michel. SPIE, 2007. http://dx.doi.org/10.1117/12.737836.

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Grimes, David I. F., Rogerio Bonifacio, and Nawa Kawana. "Agrometeorological information system for operational use in southern Africa." In Remote Sensing, edited by Giovanna Cecchi, Edwin T. Engman, and Eugenio Zilioli. SPIE, 1999. http://dx.doi.org/10.1117/12.373085.

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Pianalto, Frederick S. "A remote sensing model of construction-related soil disturbance in southern Arizona." In Remote Sensing, edited by Roland Meynart, Steven P. Neeck, and Haruhisa Shimoda. SPIE, 2010. http://dx.doi.org/10.1117/12.864776.

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Zielinski, Tymon, Jacek Piskozub, and Andrzej Zielinski. "Remote sensing in the marine boundary layer over the southern Baltic Sea." In Remote Sensing, edited by Ulrich Schreiber and Christian Werner. SPIE, 1999. http://dx.doi.org/10.1117/12.373030.

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Thorne, Virginia, Paul Coakeley, David I. F. Grimes, and George Dugdale. "Comparison of TAMSAT and CPC rainfall estimates with rainfall for southern Africa." In Remote Sensing, edited by Giovanna Cecchi, Edwin T. Engman, and Eugenio Zilioli. SPIE, 1999. http://dx.doi.org/10.1117/12.373117.

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Leivas, Janice F., Antonio Heriberto de C. Teixeira, Ricardo G. Andrade, Daniel de C. Victoria, Edson L. Bolfe, and Caroline R. Cruz. "Biophysical parameters in a wheat producer region in southern Brazil." In SPIE Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2014. http://dx.doi.org/10.1117/12.2067477.

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Quarta, G., D. Conte, G. P. Marra, and F. Parmiggiani. "Spatial vegetation variation patterns in southern Italy as detected by AVHRR and MODIS observations." In Remote Sensing, edited by Christopher M. U. Neale, Manfred Owe, and Guido D'Urso. SPIE, 2007. http://dx.doi.org/10.1117/12.737358.

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Guirado, F., J. Lenoble, A. De la Casiniere, T. Cabot, and C. Brogniez. "The aerosol ultraviolet optical depth observed at a station in the French Southern Alps." In Remote Sensing, edited by Klaus Schäfer, Adolfo Comerón, James R. Slusser, Richard H. Picard, Michel R. Carleer, and Nicolaos I. Sifakis. SPIE, 2005. http://dx.doi.org/10.1117/12.626803.

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Parmegiani, Neda, Mautizio Poscolieri, and M. Barbieri. "Historical-environmental scenario of the southern Lake Sevan region (Armenia) during the Urartian period." In Remote Sensing, edited by Giovanna Cecchi, Edwin T. Engman, and Eugenio Zilioli. SPIE, 1999. http://dx.doi.org/10.1117/12.373118.

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Reports on the topic "Remote sensing – Alberta, Southern"

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Wang, S., and J. Li. Remote sensing activities in Southern Ontario in NRCan/ESS Groundwater Geoscience Program. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2016. http://dx.doi.org/10.4095/297743.

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Delle Monache, L., D. Rodriguez, and R. Cederwall. Clear Sky Identification Using Data From Remote Sensing Systems at ARM's Southern Great Plains Site. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/793575.

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Blais, A., W. R. Stevens, D. F. Graham, and V. H. Singhroy. A preliminary assessment of remote sensing as a tool for mapping surficial sediments in the southern Canadian Prairies. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1995. http://dx.doi.org/10.4095/202807.

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