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Articles 1 - 15 of 15
Full-Text Articles in Remote Sensing
Correlation Of Road Network Structure And Urban Mobility Intensity: An Exploratory Study Using Geo-Tagged Tweets, Li Geng, Ke Zhang
Correlation Of Road Network Structure And Urban Mobility Intensity: An Exploratory Study Using Geo-Tagged Tweets, Li Geng, Ke Zhang
Publications and Research
Urban planners have been long interested in understanding how urban structure and activities are mutually influenced. Human mobility and economic activities naturally drive the formation of road network structure and the accessibility of the latter shapes the patterns of movement flow across urban space. In this paper, we perform an exploratory study on the relationship between the street network structure and the intensity of human movement in urban areas. We focus on two cities and we utilize a dataset of geo-tagged tweets that can form a proxy to urban mobility and the corresponding street networks as obtained from OpenStreetMap. We …
Systematic Review Of A Ramsar Wetland And Unesco Biosphere Reserve In A Climate Change Hotspot (Ichkeul Lake, Tunisia), Sabrine Sahbani, Béchir Béjaoui, Sihem Benabdalla, Rachid Toujani, Afef Fathalli, Noureddine Zaaboub, Jalel Aouissi, Zeineb Kassouk, Nabil Hamdi, Nabiha Ben Mbarek, Hechmi Missaoui, Leila Basti, Reginald Blake, Hamidreza Norouzi
Systematic Review Of A Ramsar Wetland And Unesco Biosphere Reserve In A Climate Change Hotspot (Ichkeul Lake, Tunisia), Sabrine Sahbani, Béchir Béjaoui, Sihem Benabdalla, Rachid Toujani, Afef Fathalli, Noureddine Zaaboub, Jalel Aouissi, Zeineb Kassouk, Nabil Hamdi, Nabiha Ben Mbarek, Hechmi Missaoui, Leila Basti, Reginald Blake, Hamidreza Norouzi
Publications and Research
Tunisia's Ichkeul Lake is among the most productive ecosystems in the Mediterranean, with a great regional value thanks to its diversity of habitats. It is an important overwintering area for waterfowl species. It is a RAMSAR wetland, a National Park, a UNESCO World Heritage, and a Biosphere Reserve. This review paper provides a broad overview of the climatic, hydraulic, biogeochemical features, bio-resources, and bio-productivity of the Lake. The interconnectivity between the different environmental components of the lake is presented, highlighting the main characteristics of this vital ecosystem. Its ecosystem consists of a permanent lake bordered by temporary marshes. It is …
Studying Factors Of Environmental Injustice And Ways To Achieve Equity, Arham Hussain, Reginald Metellus
Studying Factors Of Environmental Injustice And Ways To Achieve Equity, Arham Hussain, Reginald Metellus
Publications and Research
In today's day of age, the biggest concern for current and future generations: the environment. The urban heat island (UHi) with its significant energy, health, and societal impacts is among the major environmental issues in urban regions, especially in historically underserved and socially vulnerable communities (HUSVCs). In the 1930s, the former federal agency, Homeowners' Loan Corporation (H0Lq, created ''Residential Security" maps of major cities, known today as "redlined" areas. These neighborhoods were often designated as "hazardous" due to the high percentages of people of color living there, leading to systematic disinvestment based on race. While the program ended in 1968, …
Remote Sensing & Land Surface Temperature From Satellite Observations, Isatu Jollah
Remote Sensing & Land Surface Temperature From Satellite Observations, Isatu Jollah
Publications and Research
The Moderate Resolution Imaging Spectroradiometer (MODIS) instrument is designed and developed in 1995. • It is a critical instrument aboard Terra and Aqua satellites. Terra's orbit around the Earth is timed so that it crosses the equator from north to south in the morning, while Aqua crosses the equator from south to north in the afternoon. • Every 1 to 2 days, Terra MODIS and Aqua MODIS scan the entire Earth's surface, collecting data in groups of wavelengths. • In this research, a whole month of MODIS Land Surface Temperature data from both Aqua and Terra were explored and investigated.
Lake Satellite Temperature Data Validation, Mamadou Balde, Pascal Kouogang
Lake Satellite Temperature Data Validation, Mamadou Balde, Pascal Kouogang
Publications and Research
In environmental remote sensing, satellite data isn't absolutely conclusive, for that reason, there is a natural need to verify the data acquired from the satellite. The most suitable tool to achieve such verification is on ground sensors that have the advantage of proximity. Addressing any possible discrepancies between the satellite data and the ground sensor data is sure to yield ways to come up with improvements of satellite band calibration and sensing capabilities. This research focused on correlating temperature data from the MODIS satellite with the data obtained from the In Situ sensor located in Lake Sunapee. Doing the latter …
Spatial Downscaling Of Goes-R Land Surface Temperature Over Urban Regions: A Case Study For New York City, Abdou Bah, Hamidreza Norouzi, Satya Prakash, Reginald Blake, Reza Khanbilvardi, Cynthia Rosenzweig
Spatial Downscaling Of Goes-R Land Surface Temperature Over Urban Regions: A Case Study For New York City, Abdou Bah, Hamidreza Norouzi, Satya Prakash, Reginald Blake, Reza Khanbilvardi, Cynthia Rosenzweig
Publications and Research
The surface urban heat island (SUHI) effect is among the major environmental issues encountered in urban regions. To better predict the dynamics of the SUHI and its impacts on extreme heat events, an accurate characterization of the surface energy balance in urban regions is needed. However, the ability to improve understanding of the surface energy balance is limited by the heterogeneity of surfaces in urban areas. This study aims to enhance the understanding of the urban surface energy budget through an innovation in the use of land surface temperature (LST) observations from remote sensing satellites. A LST database with 5–min …
A Fused Radar–Optical Approach For Mapping Wetlands And Deepwaters Of The Mid–Atlantic And Gulf Coast Regions Of The United States, Brian T. Lamb, Maria A. Tzortziou, Kyle C. Mcdonald
A Fused Radar–Optical Approach For Mapping Wetlands And Deepwaters Of The Mid–Atlantic And Gulf Coast Regions Of The United States, Brian T. Lamb, Maria A. Tzortziou, Kyle C. Mcdonald
Publications and Research
Tidal wetlands are critically important ecosystems that provide ecosystem services including carbon sequestration, storm surge mitigation, water filtration, and wildlife habitat provision while supporting high levels of biodiversity. Despite their importance, monitoring these systems over large scales remains challenging due to difficulties in obtaining extensive up-to-date ground surveys and the need for high spatial and temporal resolution satellite imagery for effective space-borne monitoring. In this study, we developed methodologies to advance the monitoring of tidal marshes and adjacent deepwaters in the Mid-Atlantic and Gulf Coast United States. We combined Sentinel-1 SAR and Landsat 8 optical imagery to classify marshes and …
Investigating Water Usage Patterns Tied To California State Water Project, Xiaoqing Wu
Investigating Water Usage Patterns Tied To California State Water Project, Xiaoqing Wu
Publications and Research
California (USA) is the largest agricultural producer and one of the populous states in the United State. As the population and agriculture grows, water consumption patterns become crucial to keep track of especially surface water. In this research project, we studied possible changes in water consumption patterns in different counties and water rights holders who obtain surface water supply from the State Water Project (SWP) in California. We conducted a time series analysis on the California Monthly Diverted Surface Water dataset through two different time series forecasting models. Our analysis indicates that the total diverted surface water presents a periodic …
Downscaling Methodology For Satellite Land Surface Temperatures Over Urban Environments, Naved Khan, Ruben Vecino
Downscaling Methodology For Satellite Land Surface Temperatures Over Urban Environments, Naved Khan, Ruben Vecino
Publications and Research
The objective of this study is to develop high spatial and temporal resolution Land Surface Temperature (LST) data using a combination of Landsat 8, infrared satellite sensors such as the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Geostationary Operational Environmental Satellite-R Series (GOES-16). The Landsat 8 Thermal Infrared Sensor (TIRS) provides higher spatial resolution (30 m) estimates of skin temperature every 16 days. MODIS makes daytime and nighttime observations of the Earth’s thermal emission at a coarser spatial resolution (1000 m), while GOES-16, which has lower spatial resolution (2 km), measures the skin temperature at a much higher temporal resolution …
Diurnal Cycle Of Passive Microwave Brightness Temperatures Over Land At A Global Scale, Zahra Sharifnezhad, Hamid Norouzi, Satya Prakash, Reginald Blake, Reze Khanbilvard
Diurnal Cycle Of Passive Microwave Brightness Temperatures Over Land At A Global Scale, Zahra Sharifnezhad, Hamid Norouzi, Satya Prakash, Reginald Blake, Reze Khanbilvard
Publications and Research
Satellite-borne passive microwave radiometers provide brightness temperature (TB) measurements in a large spectral range which includes a number of frequency channels and generally two polarizations: horizontal and vertical. These TBs are widely used to retrieve several atmospheric and surface variables and parameters such as precipitation, soil moisture, water vapor, air temperature profile, and land surface emissivity. Since TBs are measured at different microwave frequencies with various instruments and at various incidence angles, spatial resolutions, and radiometric characteristics, a mere direct integration of them from different microwave sensors would not necessarily provide consistency. However, when appropriately harmonized, they can provide a …
Fine-Grained, Spatiotemporal Datasets Measuring 200 Years Of Land Development In The United States, Johannes H. Uhl, Stefan Leyk, Caitlin M. Mcshane, Anna E. Braswell, Dylan S. Connor, Deborah Balk
Fine-Grained, Spatiotemporal Datasets Measuring 200 Years Of Land Development In The United States, Johannes H. Uhl, Stefan Leyk, Caitlin M. Mcshane, Anna E. Braswell, Dylan S. Connor, Deborah Balk
Publications and Research
The collection, processing, and analysis of remote sensing data since the early 1970s has rapidly improved our understanding of change on the Earth’s surface. While satellite-based Earth observation has proven to be of vast scientific value, these data are typically confined to recent decades of observation and often lack important thematic detail. Here, we advance in this arena by constructing new spatially explicit settlement data for the United States that extend back to the early 19th century and are consistently enumerated at fine spatial and temporal granularity (i.e. 250m spatial and 5-year temporal resolution). We create these time series using …
The Quest For Greener Pastures: Evaluating The Livelihoods Impacts Of Providing Vegetation Condition Maps To Pastoralists In Eastern Africa, Elia Machado, Helene Purcell, Andrew M. Simons, Stephanie Swinehart
The Quest For Greener Pastures: Evaluating The Livelihoods Impacts Of Providing Vegetation Condition Maps To Pastoralists In Eastern Africa, Elia Machado, Helene Purcell, Andrew M. Simons, Stephanie Swinehart
Publications and Research
The survival of millions of pastoral households in Eastern Africa has become increasingly at risk. Due to mounting socioeconomic and climatic stressors, pastoral households are faced with making migration decisions under increasing uncertainty about resource availability and limited coping strategies. We assess the potential of providing vegetation condition maps to support the migration decision of pastoralists in Ethiopia and Tanzania and the effect of map usage on their herd condition and size. The maps were generated from remotely sensed data using the Normalized Difference Vegetation Index (NDVI) as a proxy for vegetation condition and overlain with pastoralists’ preferred grazing areas. …
Analysis Of Land Surface Temperature Over Urban Landcover Types Using Satellite Remote Sensing And Ground-Based Applications, Makini Valentine, Justine Ginchereau
Analysis Of Land Surface Temperature Over Urban Landcover Types Using Satellite Remote Sensing And Ground-Based Applications, Makini Valentine, Justine Ginchereau
Publications and Research
Urban areas have discrete differences in their land surface temperatures (LST) compared to rural areas. These regions are covered with impermeable materials with less vegetation and moisture. Consequently, this phenomenon causes major thermal intensities of different land surfaces, negatively impact people and environment. The objective of this project is to examine and to compare land surface temperature obtained from in-situ data and satellite-based observations in order to understand the diurnal variation and heat transfer at each surface type. The study utilizes series of hand held thermal infrared cameras and one Unmanned Aerial Vehicle (UAV) infrared camera to find land surface …
Utilizing Collocated Crop Growth Model Simulations To Train Agronomic Satellite Retrieval Algorithms, Nathaniel Levitan, Barry Gross
Utilizing Collocated Crop Growth Model Simulations To Train Agronomic Satellite Retrieval Algorithms, Nathaniel Levitan, Barry Gross
Publications and Research
Due to its worldwide coverage and high revisit time, satellite-based remote sensing provides the ability to monitor in-season crop state variables and yields globally. In this study, we presented a novel approach to training agronomic satellite retrieval algorithms by utilizing collocated crop growth model simulations and solar-reflective satellite measurements. Specifically, we showed that bidirectional long short-term memory networks (BLSTMs) can be trained to predict the in-season state variables and yields of Agricultural Production Systems sIMulator (APSIM) maize crop growth model simulations from collocated Moderate Resolution Imaging Spectroradiometer (MODIS) 500-m satellite measurements over the United States Corn Belt at a regional …
Allometric Scaling And Resource Limitations Model Of Tree Heights: Part 2. Site Based Testing Of The Model, Sungho Choi, Xiliang Ni, Yuli Shi, Sangram Ganguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Marc Simard, Sassan S. Saatchi, Shihyan Lee, Wenge Ni-Meister, Shilong Piao, Chunxiang Cao, Ramakrishna R. Nemani, Ranga B. Myneni
Allometric Scaling And Resource Limitations Model Of Tree Heights: Part 2. Site Based Testing Of The Model, Sungho Choi, Xiliang Ni, Yuli Shi, Sangram Ganguly, Gong Zhang, Hieu V. Duong, Michael A. Lefsky, Marc Simard, Sassan S. Saatchi, Shihyan Lee, Wenge Ni-Meister, Shilong Piao, Chunxiang Cao, Ramakrishna R. Nemani, Ranga B. Myneni
Publications and Research
The ultimate goal of this multi-article series is to develop a methodology to generate continuous fields of tree height and biomass. The first paper demonstrated the need for Allometric Scaling and Resource Limitation (ASRL) model optimization and its ability to generate spatially continuous fields of tree heights over the continental USA at coarse (1 km) spatial resolution. The objective of this second paper is to provide an assessment of that approach at site scale, specifically at 12 FLUXNET sites where more accurate data are available. Estimates of tree heights from the Geoscience Laser Altimeter System (GLAS) waveform data are used …