Search Results - "Wardlow, Brian D"

A review of vegetation phenological metrics extraction using time-series, multispectral satellite data by Zeng, Linglin, Wardlow, Brian D., Xiang, Daxiang, Hu, Shun, Li, Deren

“…Vegetation dynamics and phenology play an important role in inter-annual vegetation changes in terrestrial ecosystems and are key indicators of…”
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Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the U.S. Central Great Plains by Wardlow, Brian D., Egbert, Stephen L.

“…Improved and up-to-date land use/land cover (LULC) data sets that classify specific crop types and associated land use practices are needed over intensively…”
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Analysis of time-series MODIS 250 m vegetation index data for crop classification in the U.S. Central Great Plains by Wardlow, Brian D., Egbert, Stephen L., Kastens, Jude H.

“…The global environmental change research community requires improved and up-to-date land use/land cover (LULC) datasets at regional to global scales to support…”
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A comparison of MODIS 250-m EVI and NDVI data for crop mapping: a case study for southwest Kansas by Wardlow, Brian D., Egbert, Stephen L.

“…Multi-temporal vegetation index (VI) data from the Moderate Resolution Imaging Spectroradiometer (MODIS) are becoming widely used for large-area crop…”
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Developing a Remote Sensing-Based Combined Drought Indicator Approach for Agricultural Drought Monitoring over Marathwada, India by Kulkarni, Sneha S., Wardlow, Brian D., Bayissa, Yared A., Tadesse, Tsegaye, Svoboda, Mark D., Gedam, Shirishkumar S.

“…The increasing drought severities and consequent devastating impacts on society over the Indian semi-arid regions demand better drought monitoring and early…”
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A Novel Strategy to Reconstruct NDVI Time-Series with High Temporal Resolution from MODIS Multi-Temporal Composite Products by Zeng, Linglin, Wardlow, Brian D., Hu, Shun, Zhang, Xiang, Zhou, Guoqing, Peng, Guozhang, Xiang, Daxiang, Wang, Rui, Meng, Ran, Wu, Weixiong

“…Vegetation indices (VIs) data derived from satellite imageries play a vital role in land surface vegetation and dynamic monitoring. Due to the excessive noises…”
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Estimation of Daily Air Temperature Based on MODIS Land Surface Temperature Products over the Corn Belt in the US by Zeng, Linglin, Wardlow, Brian D, Tadesse, Tsegaye, Shan, Jie, Hayes, Michael J, Li, Deren, Xiang, Daxiang

“…Air temperature (Ta) is a key input in a wide range of agroclimatic applications. Moderate Resolution Imaging Spectroradiometer (MODIS) Ts (Land Surface…”
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Using seasonal climate scenarios in the ForageAhead annual forage production model for early drought impact assessment by Poděbradská, Markéta, Wylie, Bruce K., Hayes, Michael J., Bathke, Deborah J., Bayissa, Yared A., Boyte, Stephen P., Brown, Jesslyn F., Wardlow, Brian D.

“…High interannual variability of forage production in semiarid grasslands leads to uncertainties when livestock producers make decisions, such as buying…”
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Developing a Remotely Sensed Drought Monitoring Indicator for Morocco by Bijaber, Noureddine, Hadani, Driss El, Saidi, Mariam, Svoboda, Mark D., Wardlow, Brian D., Hain, Christopher R., Poulsen, Calvin Christian, Yessef, Mohammed, Rochdi, Atmane

“…Drought is one of the most serious climatic and natural disasters inflicting serious impacts on the socio-economy of Morocco, which is characterized both by…”
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Monitoring Climate Impacts on Annual Forage Production across U.S. Semi-Arid Grasslands by Poděbradská, Markéta, Wylie, Bruce K., Bathke, Deborah J., Bayissa, Yared A., Dahal, Devendra, Derner, Justin D., Fay, Philip A., Hayes, Michael J., Schacht, Walter H., Volesky, Jerry D., Wagle, Pradeep, Wardlow, Brian D.

“…The ecosystem performance approach, used in a previously published case study focusing on the Nebraska Sandhills, proved to minimize impacts of non-climatic…”
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Monitoring Drought Impact on Annual Forage Production in Semi-Arid Grasslands: A Case Study of Nebraska Sandhills by Poděbradská, Markéta, Wylie, Bruce K., Hayes, Michael J., Wardlow, Brian D., Bathke, Deborah J., Bliss, Norman B., Dahal, Devendra

“…Land management practices and disturbances (e.g. overgrazing, fire) have substantial effects on grassland forage production. When using satellite remote…”
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Estimating daily gross primary production of maize based only on MODIS WDRVI and shortwave radiation data by Sakamoto, Toshihiro, Gitelson, Anatoly A., Wardlow, Brian D., Verma, Shashi B., Suyker, Andrew E.

“…Accurate assessment of temporal changes in gross primary production (GPP) is important for carbon budget assessments and evaluating the impact of climate…”
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Detecting Spatiotemporal Changes of Corn Developmental Stages in the U.S. Corn Belt Using MODIS WDRVI Data by Sakamoto, T, Wardlow, B D, Gitelson, A A

“…The dates of crop developmental stages are important variables for many applications including assessment of the impact of abnormal weather on crop yield…”
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Forest Drought Response Index (ForDRI): A New Combined Model to Monitor Forest Drought in the Eastern United States by Tadesse, Tsegaye, Hollinger, David, Bayissa, Yared, Svoboda, Mark, Fuchs, Brian, Zhang, Beichen, Demissie, Getachew, Wardlow, Brian, Bohrer, Gil, Clark, Kenneth, Desai, Ankur, Gu, Lianhong, Noormets, Asko, Novick, Kimberly, Richardson, Andrew

“…Monitoring drought impacts in forest ecosystems is a complex process because forest ecosystems are composed of different species with heterogeneous structural…”
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Resilience to Large, “Catastrophic” Wildfires in North America's Grassland Biome by Donovan, Victoria M., Twidwell, Dirac, Uden, Daniel R., Tadesse, Tsegaye, Wardlow, Brian D., Bielski, Christine H., Jones, Matthew O., Allred, Brady W., Naugle, David E., Allen, Craig R.

“…Wildfires are ecosystem‐level drivers of structure and function in many vegetated biomes. While numerous studies have emphasized the benefits of fire to…”
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An evaluation of MODIS 250-m data for green LAI estimation in crops by Gitelson, Anatoly A., Wardlow, Brian D., Keydan, Galina P., Leavitt, Bryan

“…Green leaf area index (LAI) is an important variable for climate modeling, estimates of primary production, agricultural yield forecasting, and many other…”
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A hybrid approach for detecting corn and soybean phenology with time-series MODIS data by Zeng, Linglin, Wardlow, Brian D., Wang, Rui, Shan, Jie, Tadesse, Tsegaye, Hayes, Michael J., Li, Deren

“…Monitoring crop phenology provides essential information for crop management, as well as for understanding regional to global scale vegetation dynamics. In…”
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Use of remote sensing indicators to assess effects of drought and human-induced land degradation on ecosystem health in Northeastern Brazil by Mariano, Denis A., Santos, Carlos A.C. dos, Wardlow, Brian D., Anderson, Martha C., Schiltmeyer, Allie V., Tadesse, Tsegaye, Svoboda, Mark D.

“…Land degradation (LD) is one of the most catastrophic outcomes of long-lasting drought events and anthropogenic activities. Assessing climate and human-induced…”
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Application of day and night digital photographs for estimating maize biophysical characteristics by Sakamoto, Toshihiro, Gitelson, Anatoly A, Wardlow, Brian D, Arkebauer, Timothy J, Verma, Shashi B, Suyker, Andrew E, Shibayama, Michio

“…In this study, an inexpensive camera-observation system called the Crop Phenology Recording System (CPRS), which consists of a standard digital color camera…”
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Explainable machine learning for the prediction and assessment of complex drought impacts by Zhang, Beichen, Abu Salem, Fatima K., Hayes, Michael J., Smith, Kelly Helm, Tadesse, Tsegaye, Wardlow, Brian D.

“…Drought is a common and costly natural disaster with broad social, economic, and environmental impacts. Machine learning (ML) has been widely applied in…”
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