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Remote sensing

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Articles 271 - 300 of 719

Full-Text Articles in Physical Sciences and Mathematics

Determining And Evaluating New Store Locations Using Remote Sensing Andmachine Learning, Berkan Höke, Zeynep Zerri̇n Turgay, Cem Ünsalan, Hande Küçükaydin Jan 2021

Determining And Evaluating New Store Locations Using Remote Sensing Andmachine Learning, Berkan Höke, Zeynep Zerri̇n Turgay, Cem Ünsalan, Hande Küçükaydin

Turkish Journal of Electrical Engineering and Computer Sciences

Decision making for store locations is crucial for retail companies as the profit depends on the location. The key point for correct store location is profit approximation, which is highly dependent on population of the corresponding region, and hence, the volume of the residential area. Thus, estimating building volumes provides insight about the revenue if a new store is about to be opened there. Remote sensing through stereo/tri-stereo satellite images provides wide area coverage as well as adequate resolution for three dimensional reconstruction for volume estimation. We reconstruct 3D map of corresponding region with the help of semiglobal matching and …

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Application Of The Revised Universal Soil Loss Equation To Develop A Management Plan In The Chittagong Hill Tracts Region Of Bangladesh, Nira Rahman Jan 2021

Application Of The Revised Universal Soil Loss Equation To Develop A Management Plan In The Chittagong Hill Tracts Region Of Bangladesh, Nira Rahman

Theses and Dissertations

Land degradation from soil erosion is a major issue in hilly areas of tropical regions such as the Chittagong Hill Tracts (CHT) of Bangladesh. The combination of an elevated topography, high-intensity storms that are further exacerbated by the impacts of climate change, and farming practices increase the susceptibility of the region to soil erosion. The Revised Universal Soil Loss Equation (RUSLE) was developed in the mid-latitude dry climate zone of the United States during the 1990s to assist soil conservationists in implementing farming strategies that would address soil loss. Since then, researchers employed remote sensing and geographic information systems (GIS) …

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Comparison Of Low-Cost Commercial Unpiloted Digital Aerial Photogrammetry To Airborne Laser Scanning Across Multiple Forest Types In California, James Edward Lamping Jan 2021

Comparison Of Low-Cost Commercial Unpiloted Digital Aerial Photogrammetry To Airborne Laser Scanning Across Multiple Forest Types In California, James Edward Lamping

Cal Poly Humboldt theses and projects

Science-based forest management requires quantitative information about forest attributes traditionally collected via sampled field plots in a forest inventory program. Remote sensing tools, such as active three-dimensional (3D) Light Detection and Ranging (lidar), are increasingly utilized to supplement and even replace field-based forest inventories. However, lidar remains cost prohibitive for smaller areas and repeat measurement, often limiting its use to single acquisitions of large contiguous areas. Recent advancements in unpiloted aerial systems (UAS), digital aerial photogrammetry (DAP) and high precision global positioning systems (HPGPS) have the potential to provide low-cost time and place flexible 3D data to support forest inventory …

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Using Uav And Traditional Remote Sensing Data To Detect Vegetation Vigor And Monitor Stream Morphology In A Desert Riparian Ecosystem, Jordan Bradley Adair Jan 2021

Using Uav And Traditional Remote Sensing Data To Detect Vegetation Vigor And Monitor Stream Morphology In A Desert Riparian Ecosystem, Jordan Bradley Adair

Cal Poly Humboldt theses and projects

Mono Lake is a terminal lake in the Eastern Sierra Nevada Mountains. The streams that feed Mono Lake support a unique desert riparian ecosystem. Rush Creek was the stream of interest for this study. The objective of this research is to determine if remotely sensed imagery can be used to determine vegetation vigor and measure stream morphologic features in a desert riparian area. The goals were to evaluate different sources of remotely sensed imagery to make these determinations. The Normalized Difference Vegetation Index (NDVI) was used to monitor vegetation vigor along Rush Creek. Google Earth imagery and UAV derived imagery …

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A Look At Land Cover Classification Methods In Northern California With The Use Of High Spatial Resolution Geospatial Data, Lucila Corro Jan 2021

A Look At Land Cover Classification Methods In Northern California With The Use Of High Spatial Resolution Geospatial Data, Lucila Corro

Cal Poly Humboldt theses and projects

Land use and land cover (LULC) mapping plays a vital role in understanding the state of the world, showing us a visual representation of the natural and anthropogenic features covering our planet. Northern California in the United States is home to many critical habitats that provide for a variety of endemic and some threatened and engendered species, making it an area of particular concern to better understand and monitor. There is a greater need to identify specific methods for vegetation modeling in Northern California due to its unique species; to do this we examined two case studies with the following …

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Can A Remote Sensing Approach With Hyperspectral Data Provide Early Detection And Mapping Of Spatial Patterns Of Black Bear Bark Stripping In Coast Redwoods?, Shayne R. Magstadt Jan 2021

Can A Remote Sensing Approach With Hyperspectral Data Provide Early Detection And Mapping Of Spatial Patterns Of Black Bear Bark Stripping In Coast Redwoods?, Shayne R. Magstadt

Cal Poly Humboldt theses and projects

The prevalence of black bear (Ursus americanus) bark stripping in commercial redwood (Sequoia sempervirens) timer stands has been increasing in recent years. This stripping is a threat to commercial timber production because of the deleterious effects on redwood tree fitness. This study sought to unveil a remote sensing method to detect these damaged trees early and map their spatial patterns. By developing a timely monitoring method, forest timber companies can manipulate their timber harvesting routines to adapt to the consequences of the problem. We explored the utility of high spatial resolution UAV-collected hyperspectral imagery as a …

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Impulsive Volcanic Plumes Generate Volcanic Lightning And Vent Discharges: A Statistical Analysis Of Sakurajima Volcano In 2015, Cassandra M. Smith, Damien Gaudin, Alexa R. Van Eaton, Sonja A. Behnke, Steven Reader, Ronald J. Thomas, Harald Edens, Stephen R. Mcnutt, Corrado Cimarelli Jan 2021

Impulsive Volcanic Plumes Generate Volcanic Lightning And Vent Discharges: A Statistical Analysis Of Sakurajima Volcano In 2015, Cassandra M. Smith, Damien Gaudin, Alexa R. Van Eaton, Sonja A. Behnke, Steven Reader, Ronald J. Thomas, Harald Edens, Stephen R. Mcnutt, Corrado Cimarelli

School of Geosciences Faculty and Staff Publications

The origin of electrical activity accompanying volcanic ash plumes is an area of heightened interest in volcanology. However, it is unclear how intense an eruption needs to be to produce lightning flashes as opposed to “vent discharges,” which represent the smallest scale of electrical activity. This study targets 97 carefully monitored plumesJapan, from June 1 to 7, 2015. We use multiparametric measurements from sensors including a nine-station lightning mapping array and an infrared camera to characterize plume ascent. Findings demonstrate that the impulsive, high velocity plumes (>55 m/s) were most likely to create vent discharges, whereas lightning flashes occurred …

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An Assessment Of Regional Icesat-2 Sea-Level Trends, Brett Buzzanga, Eduard Heijkoop, Benjamin D. Hamlington, R. Steven Nerem, Alex Gardner Jan 2021

An Assessment Of Regional Icesat-2 Sea-Level Trends, Brett Buzzanga, Eduard Heijkoop, Benjamin D. Hamlington, R. Steven Nerem, Alex Gardner

OES Faculty Publications

Sea-level rise is an important indicator of ongoing climate change and well observed by satellite altimetry. However, observations from conventional altimetry degrade at the coast where regional sea-level changes can deviate from the open-ocean and impact local communities. With the 2018 launch of the laser altimeter onboard ICESat-2, new high-resolution observations of ice, land, and ocean elevations are available. Here we assess the potential benefits of sea level measured by ICESat-2 by comparing to data from Jason-3 and tide gauges. We find good agreement in the linear rates computed from the independent observations, with an absolute average residual of 3.60 …

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A Hand-Held Structure From Motion Photogrammetric Approach To Riparian And Stream Asseessment And Monitoring, Joseph M. Dehnert, Joseph Dehnert Jan 2021

A Hand-Held Structure From Motion Photogrammetric Approach To Riparian And Stream Asseessment And Monitoring, Joseph M. Dehnert, Joseph Dehnert

Graduate Student Theses, Dissertations, & Professional Papers

Two of the biggest weaknesses in stream restoration and monitoring are: 1) subjective estimation and subsequent comparison of changes in channel form, vegetative cover, and in-stream habitat; and 2) the high costs in terms of financing, human resources, and time necessary to make these estimates. Remote sensing can be used to remedy these weaknesses and save organizations focused on restoration both money and time. However, implementing traditional remote sensing approaches via autonomous aerial systems or light detection and ranging systems is either prohibitively expensive or impossible along small streams with dense vegetation. Hand-held Structure from Motion Multi-view Stereo (SfM-MVS) photogrammetric …

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Rapid Quantification Of Biofouling With An Inexpensive, Underwater Camera And Image Analysis, Matthew R. First, Scott C. Riley, Kazi Aminul Islam, Victoria Hill, Jiang Li, Richard C. Zimmerman, Lisa A. Drake Jan 2021

Rapid Quantification Of Biofouling With An Inexpensive, Underwater Camera And Image Analysis, Matthew R. First, Scott C. Riley, Kazi Aminul Islam, Victoria Hill, Jiang Li, Richard C. Zimmerman, Lisa A. Drake

Electrical & Computer Engineering Faculty Publications

To reduce the transport of potentially invasive species on ships' submerged surfaces, rapid-and accurate-estimates of biofouling are needed so shipowners and regulators can effectively assess and manage biofouling. This pilot study developed a model approach for that task. First, photographic images were collected in situ with a submersible, inexpensive pocket camera. These images were used to develop image processing algorithms and train machine learning models to classify images containing natural assemblages of fouling organisms. All of the algorithms and models were implemented in a widely available software package (MATLAB©). Initially, an unsupervised clustering model was used, and three …

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Response Of Deep Aquifers To Climate Variability, Karem Fathy Abdelgaber Abdelmohsen Dec 2020

Response Of Deep Aquifers To Climate Variability, Karem Fathy Abdelgaber Abdelmohsen

Dissertations

Our recent analysis of Temporal Gravity Recovery and Climate Experiment (GRACE) solutions over the largest aquifer system in Africa (the Nubian Sandstone Aquifer System: NSAS) revealed that while the response of deep aquifers to climatic variations remains a relatively slow process that takes thousands to tens of thousands of years, there is a much faster response in aquifers that are characterized by dense networks of faults, fractures and karst as is the case with the NSAS. This rapid groundwater flow, when it occurs, is detected as an increase in GRACETWS over areas downgradient and distant (hundreds of km) from …

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Comparison Of Management Effects On Rangelands In Western Usa And Northern Mongolia Using Remote Sensing And Gis, Temuulen Tsagaan Sankey, Keith T. Weber, Corey Moffet Nov 2020

Comparison Of Management Effects On Rangelands In Western Usa And Northern Mongolia Using Remote Sensing And Gis, Temuulen Tsagaan Sankey, Keith T. Weber, Corey Moffet

IGC Proceedings (1977-2023)

No abstract provided.

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Gradients Of Functionality Of Australian Rangeland Landscapes: Assessing Changes Over Time With Remote Sensing, B. Price, C. Mcalpine, D. Ward, Alexander Kutt, S. Phinn Nov 2020

Gradients Of Functionality Of Australian Rangeland Landscapes: Assessing Changes Over Time With Remote Sensing, B. Price, C. Mcalpine, D. Ward, Alexander Kutt, S. Phinn

IGC Proceedings (1977-2023)

No abstract provided.

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Remote Sensing Monitoring For The Key Phonological Stages Of Rangeland — A Case Study About Xilingol Grassland, Aijun Liu, Jianguo Han Nov 2020

Remote Sensing Monitoring For The Key Phonological Stages Of Rangeland — A Case Study About Xilingol Grassland, Aijun Liu, Jianguo Han

IGC Proceedings (1977-2023)

No abstract provided.

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Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets And Machine Learning, S. Majumdar, Ryan G. Smith, J. J. Butler, V. Lakshmi Nov 2020

Groundwater Withdrawal Prediction Using Integrated Multitemporal Remote Sensing Data Sets And Machine Learning, S. Majumdar, Ryan G. Smith, J. J. Butler, V. Lakshmi

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Effective monitoring of groundwater withdrawals is necessary to help mitigate the negative impacts of aquifer depletion. In this study, we develop a holistic approach that combines water balance components with a machine learning model to estimate groundwater withdrawals. We use both multitemporal satellite and modeled data from sensors that measure different components of the water balance and land use at varying spatial and temporal resolutions. These remote sensing products include evapotranspiration, precipitation, and land cover. Due to the inherent complexity of integrating these data sets and subsequently relating them to groundwater withdrawals using physical models, we apply random forests -- …

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Measurement Of Remote Sensing In Desert Plants Recovery, Xia Li, Ting Niu, Yebiao Yin Oct 2020

Measurement Of Remote Sensing In Desert Plants Recovery, Xia Li, Ting Niu, Yebiao Yin

IGC Proceedings (1977-2023)

No abstract provided.

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Use Of Remote Sensing Satellite Images To Predict Pasture Biomass On Waikato Dairy Farms, C. Deanne Waugh, David A. Clark, S. F. Petch, G. Mata, A. Edirisinghe, Z. Ward Oct 2020

Use Of Remote Sensing Satellite Images To Predict Pasture Biomass On Waikato Dairy Farms, C. Deanne Waugh, David A. Clark, S. F. Petch, G. Mata, A. Edirisinghe, Z. Ward

IGC Proceedings (1977-2023)

No abstract provided.

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Rangeland Sustainability Modeling Using Soil Exposure And Soil Moisture Parameters, J. Tibbitts, Keith T. Weber, J. Théau, Temuulen Tsagaan Sankey Oct 2020

Rangeland Sustainability Modeling Using Soil Exposure And Soil Moisture Parameters, J. Tibbitts, Keith T. Weber, J. Théau, Temuulen Tsagaan Sankey

IGC Proceedings (1977-2023)

No abstract provided.

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The Study Of Method On Estimating Aerial Net Primary Production Of Rangeland By Remote Sensing--A Case Study Of Xilingol Grassland, Aijun Liu, Jingjie Wang Oct 2020

The Study Of Method On Estimating Aerial Net Primary Production Of Rangeland By Remote Sensing--A Case Study Of Xilingol Grassland, Aijun Liu, Jingjie Wang

IGC Proceedings (1977-2023)

No abstract provided.

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Study On Technical Method Of Remote Sensing Monitoring For Grassland Degradation, Wa Gao, Muse Ji, Xinqiao Duan, Caixia Jin Oct 2020

Study On Technical Method Of Remote Sensing Monitoring For Grassland Degradation, Wa Gao, Muse Ji, Xinqiao Duan, Caixia Jin

IGC Proceedings (1977-2023)

No abstract provided.

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Mapping And Monitoring Inner Mongolia Rangeland Based On Remote Sensing, Qi Xing, Wa Gao Oct 2020

Mapping And Monitoring Inner Mongolia Rangeland Based On Remote Sensing, Qi Xing, Wa Gao

IGC Proceedings (1977-2023)

No abstract provided.

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Study On Benefit Detection Of The Grassland Desertification Control Project In Xianghuang Banner, Inner Mongolia Based On "3s" Technology, Qiuju Wang, Xinhong Wu, Tingting Yang Oct 2020

Study On Benefit Detection Of The Grassland Desertification Control Project In Xianghuang Banner, Inner Mongolia Based On "3s" Technology, Qiuju Wang, Xinhong Wu, Tingting Yang

IGC Proceedings (1977-2023)

No abstract provided.

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Monitoring Rangeland Community/Health Change Using Multispectral And Hyperspectral Satellite Data, Nadia Rochdi, Peter Eddy, Jinkai Zhang, Karl Staenz Oct 2020

Monitoring Rangeland Community/Health Change Using Multispectral And Hyperspectral Satellite Data, Nadia Rochdi, Peter Eddy, Jinkai Zhang, Karl Staenz

IGC Proceedings (1977-2023)

No abstract provided.

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The Application Of Remote Sensing To Ecosystem Health Assessment In Temperate Rangelands, Xulin Guo, Guodong Han, Xiaohui Yang, Mengli Zhao Oct 2020

The Application Of Remote Sensing To Ecosystem Health Assessment In Temperate Rangelands, Xulin Guo, Guodong Han, Xiaohui Yang, Mengli Zhao

IGC Proceedings (1977-2023)

No abstract provided.

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Image‐Based Rangeland Monitoring At Multiple Scales, D. T. Booth, A. S. Laliberte, A. Rango, J. E. Herrick Oct 2020

Image‐Based Rangeland Monitoring At Multiple Scales, D. T. Booth, A. S. Laliberte, A. Rango, J. E. Herrick

IGC Proceedings (1977-2023)

No abstract provided.

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Application Of Digital Data For Grassland Monitoring In Northern Iran, Hossein Arzani, S. Noori, S. H. Kaboli, H. R. Moradii, H. Ghelichnia Oct 2020

Application Of Digital Data For Grassland Monitoring In Northern Iran, Hossein Arzani, S. Noori, S. H. Kaboli, H. R. Moradii, H. Ghelichnia

IGC Proceedings (1977-2023)

No abstract provided.

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Information Technologies For Rangeland Monitoring: What Is Available And What Will Be Available In The Future?, Craig D. James, M. R. C. Ashley, G. N. Bastin, A. J. Bubb Oct 2020

Information Technologies For Rangeland Monitoring: What Is Available And What Will Be Available In The Future?, Craig D. James, M. R. C. Ashley, G. N. Bastin, A. J. Bubb

IGC Proceedings (1977-2023)

No abstract provided.

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Leveraging Very-High Spatial Resolution Hyperspectral And Thermal Uav Imageries For Characterizing Diurnal Indicators Of Grapevine Physiology, Matthew Maimaitiyiming, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Allison J. Miller, Misha Kwasniewski Oct 2020

Leveraging Very-High Spatial Resolution Hyperspectral And Thermal Uav Imageries For Characterizing Diurnal Indicators Of Grapevine Physiology, Matthew Maimaitiyiming, Vasit Sagan, Paheding Sidike, Maitiniyazi Maimaitijiang, Allison J. Miller, Misha Kwasniewski

Michigan Tech Publications, Part 1

Efficient and accurate methods to monitor crop physiological responses help growers better understand crop physiology and improve crop productivity. In recent years, developments in unmanned aerial vehicles (UAV) and sensor technology have enabled image acquisition at very-high spectral, spatial, and temporal resolutions. However, potential applications and limitations of very-high-resolution (VHR) hyperspectral and thermal UAV imaging for characterization of plant diurnal physiology remain largely unknown, due to issues related to shadow and canopy heterogeneity. In this study, we propose a canopy zone-weighting (CZW) method to leverage the potential of VHR (≤9 cm) hyperspectral and thermal UAV imageries in estimating physiological indicators, …

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Quantifying Surface Severity Of The 2014 And 2015 Fires In The Great Slave Lake Area Of Canada, Nancy H. F. French, Jeremy Graham, Ellen Whitman, Laura Bourgeau-Chavez Oct 2020

Quantifying Surface Severity Of The 2014 And 2015 Fires In The Great Slave Lake Area Of Canada, Nancy H. F. French, Jeremy Graham, Ellen Whitman, Laura Bourgeau-Chavez

Michigan Tech Publications, Part 1

The focus of this paper was the development of surface organic layer severity maps for the 2014 and 2015 fires in the Great Slave Lake area of the Northwest Territories and Alberta, Canada, using multiple linear regression models generated from pairing field data with Landsat 8 data. Field severity data were collected at 90 sites across the region, together with other site metrics, in order to develop a mapping approach for surface severity, an important metric for assessing carbon loss from fire. The approach utilised a combination of remote sensing indices to build a predictive model of severity that was …

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Landscape Fragmentation In Coffee Agroecological Subzones In Central Kenya: A Multiscale Remote Sensing Approach, Gladys Mosomtai, John Odindi, Elfatih M. Abdel-Rahman, Régis Babin, Pinard Fabrice, Onisimo Mutanga, Henri E.Z. Tonnang, Guillaume David, Tobias Landmann Oct 2020

Landscape Fragmentation In Coffee Agroecological Subzones In Central Kenya: A Multiscale Remote Sensing Approach, Gladys Mosomtai, John Odindi, Elfatih M. Abdel-Rahman, Régis Babin, Pinard Fabrice, Onisimo Mutanga, Henri E.Z. Tonnang, Guillaume David, Tobias Landmann

All Peer-Reviewed Publications

Smallholder agroecological subzones (AEsZs) produce an array of crops occupying large areas throughout Africa but remain largely unmapped. We explored multisource satellite datasets to produce a seamless land-use and land-cover (LULC) and fragmentation dataset for upper midland (UM1 to UM4) AEsZs in central Kenya. Specifically, the utility of PlanetScope, Sentinel 2, and Landsat 8 images for mapping coffee-based landscape were tested using a random forest (RF) classifier. Vegetation indices, texture variables, and wavelength bands from all satellite data were used as inputs in generating four RF models. A LULC baseline map was produced that was further analyzed using FRAGSTAT to …

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