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Center for Advanced Land Management Information Technologies: Publications

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Full-Text Articles in Other Earth Sciences

A Novel Strategy To Reconstruct Ndvi Time-Series With High Temporal Resolution From Modis Multi-Temporal Composite Products, Linglin Zeng, Brian Wardlow, Shun Hu, Xiang Zhang, Guoqing Zhou, Guozhang Peng, Daxiang Xiang, Rui Wang, Ran Meng, Weixiong Wu Jan 2021

A Novel Strategy To Reconstruct Ndvi Time-Series With High Temporal Resolution From Modis Multi-Temporal Composite Products, Linglin Zeng, Brian Wardlow, Shun Hu, Xiang Zhang, Guoqing Zhou, Guozhang Peng, Daxiang Xiang, Rui Wang, Ran Meng, Weixiong Wu

Center for Advanced Land Management Information Technologies: Publications

Vegetation indices (VIs) data derived from satellite imageries play a vital role in land surface vegetation and dynamic monitoring. Due to the excessive noises (e.g., cloud cover, atmospheric contamination) in daily VI data, temporal compositing methods are commonly used to produce composite data to minimize the negative influence of noise over a given compositing time interval. However, VI time series with high temporal resolution were preferred by many applications such as vegetation phenology and land change detections. This study presents a novel strategy named DAVIR-MUTCOP (DAily Vegetation Index Reconstruction based on MUlti-Temporal COmposite Products) method for normalized difference vegetation index …

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Mapping The Spatial-Temporal Dynamics Of Vegetation Response Lag To Drought In A Semi-Arid Region, Li Hua, Huidong Wang, Haigang Sui, Brian Wardlow, Michael Hayes, Jianxun Wang Jan 2019

Mapping The Spatial-Temporal Dynamics Of Vegetation Response Lag To Drought In A Semi-Arid Region, Li Hua, Huidong Wang, Haigang Sui, Brian Wardlow, Michael Hayes, Jianxun Wang

Center for Advanced Land Management Information Technologies: Publications

Drought, as an extreme climate event, affects the ecological environment for vegetation and agricultural production. Studies of the vegetative response to drought are paramount to providing scientific information for drought risk mitigation. In this paper, the spatial-temporal pattern of drought and the response lag of vegetation in Nebraska were analyzed from 2000 to 2015. Based on the long-term Daymet data set, the standard precipitation index (SPI) was computed to identify precipitation anomalies, and the Gaussian function was applied to obtain temperature anomalies. Vegetation anomaly was identified by dynamic time warping technique using a remote sensing Normalized Difference Vegetation Index (NDVI) …

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Monitoring Spatial And Temporal Variabilities Of Gross Primary Production Using Maiac Modis Data, Marcos Fernandez-Martinez, Rong Yu, John Gamon, Gabriel Hmimina, Iolanda Filella, Manuela Balzarolo, Benjamin Stocker, Josep Penuelas Jan 2019

Monitoring Spatial And Temporal Variabilities Of Gross Primary Production Using Maiac Modis Data, Marcos Fernandez-Martinez, Rong Yu, John Gamon, Gabriel Hmimina, Iolanda Filella, Manuela Balzarolo, Benjamin Stocker, Josep Penuelas

Center for Advanced Land Management Information Technologies: Publications

Remotely sensed vegetation indices (RSVIs) can be used to efficiently estimate terrestrial primary productivity across space and time. Terrestrial productivity, however, has many facets (e.g., spatial and temporal variability, including seasonality, interannual variability, and trends), and different vegetation indices may not be equally good at predicting them. Their accuracy in monitoring productivity has been mostly tested in single-ecosystem studies, but their performance in different ecosystems distributed over large areas still needs to be fully explored. To fill this gap, we identified the facets of terrestrial gross primary production (GPP) that could be monitored using RSVIs. We compared the temporal and …

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Open Polar Server (Ops)—An Open Source Infrastructure For The Cryosphere Community, Weibo Liu, Kyle Purdon, Trey Stafford, John Paden, Xingong Li Jan 2016

Open Polar Server (Ops)—An Open Source Infrastructure For The Cryosphere Community, Weibo Liu, Kyle Purdon, Trey Stafford, John Paden, Xingong Li

Center for Advanced Land Management Information Technologies: Publications

The Center for Remote Sensing of Ice Sheets (CReSIS) at the University of Kansas has collected approximately 1000 terabytes (TB) of radar depth sounding data over the Arctic and Antarctic ice sheets since 1993 in an effort to map the thickness of the ice sheets and ultimately understand the impacts of climate change and sea level rise. In addition to data collection, the storage, management, and public distribution of the dataset are also primary roles of the CReSIS. The Open Polar Server (OPS) project developed a free and open source infrastructure to store, manage, analyze, and distribute the data collected …

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Estimation Of Daily Air Temperature Based On Modis Land Surface Temperature Products Over The Corn Belt In The Us, Linglin Zeng, Brian D. Wardlow, Tsegaye Tadesse, Jie Shan, Michael Hayes, Deren Li, Daxiang Xiang Jan 2015

Estimation Of Daily Air Temperature Based On Modis Land Surface Temperature Products Over The Corn Belt In The Us, Linglin Zeng, Brian D. Wardlow, Tsegaye Tadesse, Jie Shan, Michael Hayes, Deren Li, Daxiang Xiang

Center for Advanced Land Management Information Technologies: Publications

Air temperature (Ta) is a key input in a wide range of agroclimatic applications. Moderate Resolution Imaging Spectroradiometer (MODIS) Ts (Land Surface Temperature (LST)) products are widely used to estimate daily Ta. However, only daytime LST (Ts-day) or nighttime LST (Ts-night) data have been used to estimate Tmax/Tmin (daily maximum or minimum air temperature), respectively. The relationship between Tmax and Ts-night, and the one between Tmin and Ts-day has not been studied. In this study, both the ability of Ts-night data to estimate Tmax and the ability of Ts-day data to estimate Tmin were tested and studied in the Corn …

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Algorithms For Remote Estimation Of Chlorophyll-[Alpha] In Coastal And Inland Waters Using Red And Near Infrared Bands, Alexander A. Gilerson, Anatoly Gitelson, Jing Zhou, Daniela Gurlin, Wesley Moses, Ioannis Ioannou, Samir A. Ahmed Nov 2010

Algorithms For Remote Estimation Of Chlorophyll-[Alpha] In Coastal And Inland Waters Using Red And Near Infrared Bands, Alexander A. Gilerson, Anatoly Gitelson, Jing Zhou, Daniela Gurlin, Wesley Moses, Ioannis Ioannou, Samir A. Ahmed

Center for Advanced Land Management Information Technologies: Publications

Remote sensing algorithms that use red and NIR bands for the estimation of chlorophyll-a concentration [Chl] can be more effective in inland and coastal waters than algorithms that use blue and green bands. We tested such two-band and three-band red-NIR algorithms using comprehensive synthetic data sets of reflectance spectra and inherent optical properties related to various water parameters and a very consistent in situ data set from several lakes in Nebraska, USA. The two-band algorithms tested with MERIS bands were Rrs(708)/Rrs(665) and Rrs(753)/Rrs(665). The three-band algorithm with MERIS bands was in the …

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Correlation Between Normalized Ddifference Vvegetation Index And Malaria In A Subtropical Rain Forest Undergoing Rapid Anthropogenic Alteration, Nicole M. Wayant, Diego Maldonado, Antonieta Rojas De Arias, Blanca Cousino, Douglas G. Goodin Jan 2010

Correlation Between Normalized Ddifference Vvegetation Index And Malaria In A Subtropical Rain Forest Undergoing Rapid Anthropogenic Alteration, Nicole M. Wayant, Diego Maldonado, Antonieta Rojas De Arias, Blanca Cousino, Douglas G. Goodin

Center for Advanced Land Management Information Technologies: Publications

Time-series of coarse-resolution greenness values derived through remote sensing have been used as a surrogate environmental variable to help monitor and predict occurrences of a number of vector-borne and zoonotic diseases, including malaria. Often, relationships between a remotely-sensed index of greenness, e.g. the normalized difference vegetation index (NDVI), and disease occurrence are established using temporal correlation analysis. However, the strength of these correlations can vary depending on type and change of land cover during the period of record as well as inter-annual variations in the climate drivers (precipitation, temperature) that control the NDVI values. In this paper, the correlation between …

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Enhancing The Detection And Classification Of Coral Reef And Associated Benthic Habitats: A Hyperspectral Remote Sensing Approach, Deepak R. Mishra, Sunil Narumalani, Donald Rundquist, Merlin P. Lawson, R. Perk Jan 2007

Enhancing The Detection And Classification Of Coral Reef And Associated Benthic Habitats: A Hyperspectral Remote Sensing Approach, Deepak R. Mishra, Sunil Narumalani, Donald Rundquist, Merlin P. Lawson, R. Perk

Center for Advanced Land Management Information Technologies: Publications

Coral reefs and associated benthic habitats are heterogeneous in nature. A remote sensor designed to discriminate these environments requires a high number of narrow, properly placed bands which are not currently available in existing satellite sensors. Optical hyperspectral sensors mounted on aerial platforms seem to be appropriate for overcoming the lack of both high spectral and spatial resolution of satellite sensors. This research presents results of an innovative coral reef application by such a sensor. Using hyperspectral Airborne Imaging Spectroradiometer for Applications (AISA) Eagle data, the approach presented solves the confounding influence of water column attenuation on substrate reflectance on …

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Predicting The Percent Live Cover Of Corals: An In Situ Remote Sensing Approach, Deepak R. Mishra, Sunil Narumalani, Ronald Bahl, D. Rundquist, Merlin P. Lawson Jan 2006

Predicting The Percent Live Cover Of Corals: An In Situ Remote Sensing Approach, Deepak R. Mishra, Sunil Narumalani, Ronald Bahl, D. Rundquist, Merlin P. Lawson

Center for Advanced Land Management Information Technologies: Publications

Percent reflectance of corals is perhaps the most important remotely sensed data that can be related to their biophysical properties. Because most of the biophysical variables of corals (i.e., pigment content, live cover and algal overgrowth) are related to their reflectance spectra, the analysis and inversion of the spectra may provide an account of these variables. Our research was aimed at determining the relationship between the percent live cover and reflectance of corals. Two wavelength bands (405–425 nm, and 590–600 nm) were identified to establish the relationship. A linear relationship was observed, which showed higher correlation (R2 = …

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New Developments In The Remote Estimation Of The Fraction Of Absorbed Photosynthetically Active Radiation In Crops, Andrés Viña, Anatoly A. Gitelson Jan 2005

New Developments In The Remote Estimation Of The Fraction Of Absorbed Photosynthetically Active Radiation In Crops, Andrés Viña, Anatoly A. Gitelson

Center for Advanced Land Management Information Technologies: Publications

The fraction of absorbed photosynthetically active radiation, fAPAR, is an important biophysical characteristic in models of gas exchange between the terrestrial boundary layer and the atmosphere, as well as in the analysis of vegetation productivity. Synoptic estimation of fAPAR has been performed by using NDVI as a linear proxy of fAPAR, despite the saturation of NDVI at fAPAR beyond 0.7. This paper analyzes the NDVI/fAPAR relationship in row crops (i.e. maize and soybean), and evaluates alternative vegetation indices to overcome the loss of sensitivity of NDVI at moderate-to-high vegetation biomass. Red-edge NDVI, which uses NIR and a band around 700 …

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