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

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

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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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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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Mohamed, Ahmed H. "Mesquite encroachment impact on southern New Mexico rangelands: remote sensing and geographic information systems approach." Journal of Applied Remote Sensing 5, no. 1 (2011): 053514. http://dx.doi.org/10.1117/1.3571040.

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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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Argentiero, Ilenia, Giovanni Francesco Ricci, Mario Elia, et al. "Combining Methods to Estimate Post-Fire Soil Erosion Using Remote Sensing Data." Forests 12, no. 8 (2021): 1105. http://dx.doi.org/10.3390/f12081105.

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The increasing number of wildfires in southern Europe is making our ecosystem more vulnerable to water erosion; i.e., the loss of vegetation and subsequent runoff increase cause a shift in large quantities of sediment. Fire severity has been recognized as one of the most important parameters controlling the magnitude of post-fire soil erosion. In this paper, we adopted a combination of methods to easily assess post-fire erosion and prevent potential risk in subsequent rain events. The model presented is structured into three modules that were implemented in a GIS environment. The first module estimates fire severity with the Monitoring Trends in Burn Severity (MTBS) method; the second estimates runoff with rainfall depth–duration curves and the Soil Conservation Service Curve Number (SCS-CN) method; and the third estimates pre- and post-fire soil erosion. In addition, two post-fire scenarios were analyzed to assess the influence of fire severity on soil erosion: the former based on the Normalized Difference Vegetation Index (NDVI) and the latter on the Relative differenced Normalized Burn Index (RdNBR). The results obtained in both scenarios are quite similar and demonstrate that transitional areas, such as rangelands and rangelands with bush, are the most vulnerable because they show a significant increase in erosion following a fire event. The study findings are of secondary importance to the combined approach devised because the focal point of the study is to create the basis for a future tool to facilitate decision making in landscape management.
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Everitt, James H., Mario A. Alaniz, David E. Escobar, and Michael R. Davis. "Using Remote Sensing to Distinguish Common (Isocoma coronopifolia) and Drummond Goldenweed (Isocoma drummondii)." Weed Science 40, no. 4 (1992): 621–28. http://dx.doi.org/10.1017/s0043174500058215.

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Common and Drummond goldenweed are troublesome subshrubs that often invade rangelands in southern Texas. Both species produce a profusion of conspicuous golden-yellow flowers in the fall. Common goldenweed flowers from late September to mid-October, whereas Drummond goldenweed flowers from mid-November to early December. Plant canopy reflectance measurements made on both species showed that they had higher visible (0.63- to 0.69-μm waveband) reflectance than did associated plant species and bare soil during flowering. Flowering common and Drummond goldenweed plants had a yellow image on conventional color (0.40- to 0.70-μm) aerial photographs that made them distinguishable from associated plants and soil. Computer analyses of the conventional color film transparencies showed that common and Drummond goldenweed infestations could be quantified from associated vegetation and soil. Flowering common goldenweed plants could also be detected on conventional color aerial video imagery.
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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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Elias, Michael, Oliver Hensel, Uwe Richter, Christian Hülsebusch, Brigitte Kaufmann, and Oliver Wasonga. "Land Conversion Dynamics in the Borana Rangelands of Southern Ethiopia: An Integrated Assessment Using Remote Sensing Techniques and Field Survey Data." Environments 2, no. 4 (2015): 1–31. http://dx.doi.org/10.3390/environments2010001.

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Habtamu, Teka, I. Madakadze Casper, O. Botai Joel, Hassen Abubeker, Angassa Ayana, and Mesfin Yared. "Evaluation of land use land cover changes using remote sensing Landsat images and pastoralists perceptions on range cover changes in Borana rangelands, Southern Ethiopia." International Journal of Biodiversity and Conservation 10, no. 1 (2018): 1–11. http://dx.doi.org/10.5897/ijbc2017.1123.

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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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Dissertations / Theses on the topic "Rangelands – Alberta, Southern – Remote sensing"

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

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Adjorlolo, C., J. O. Botha, P. Mhangara, O. Mutanga, and J. Odindi. "Integrating remote sensing and conventional grazing/browsing models for modelling carrying capacity in southern African rangelands." In SPIE Remote Sensing, edited by Christopher M. U. Neale and Antonino Maltese. SPIE, 2014. http://dx.doi.org/10.1117/12.2066330.

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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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