Search Results - "Hao, Xianjun"

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  1. 1

    Monitoring Extreme Agricultural Drought over the Horn of Africa (HOA) Using Remote Sensing Measurements by Qu, Carolyn, Hao, Xianjun, Qu, John J.

    Published in Remote sensing (Basel, Switzerland) (13-04-2019)
    “…The Horn of Africa ((HOA), including Djibouti, Eritrea, Ethiopia, and Somalia) has been slammed by extreme drought within the past years, and has become one of…”
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  2. 2

    Monitoring crop water content for corn and soybean fields through data fusion of MODIS and Landsat measurements in Iowa by Xu, Chenyang, Qu, John J., Hao, Xianjun, Cosh, Michael H., Zhu, Zhiliang, Gutenberg, Laurel

    Published in Agricultural water management (20-01-2020)
    “…•A novel method to retrieve crop water content at high spatial and temporal resolution.•Downscaling with improved data fusion method.•Daily crop water content…”
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  3. 3

    Analysis of diurnal air temperature range change in the continental United States by Qu, Michael, Wan, Joe, Hao, Xianjun

    Published in Weather and climate extremes (01-08-2014)
    “…Diurnal temperature range (DTR) is an important indicator for climate change. In this paper, diurnal air temperature range variations of the continental United…”
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  4. 4

    Dynamics of available and enzymatically hydrolysable soil phosphorus fractions during repeated freeze-thaw cycles by Sun, Dasheng, Yang, Xinbing, Wang, Chunling, Hao, Xianjun, Hong, Jianping, Lin, Xianyong

    Published in Geoderma (01-07-2019)
    “…Freeze-thaw cycles strongly affect the transformation of soil phosphorus (P) and shape the composition of P pools. This study aimed to investigate the effects…”
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  5. 5

    Surface soil temperature seasonal variation estimation in a forested area using combined satellite observations and in-situ measurements by Xu, Chenyang, Qu, John J., Hao, Xianjun, Zhu, Zhiliang, Gutenberg, Laurel

    “…•We developed a new approach to estimate surface soil temperature in forested area.•We illustrated that thermal infrared remote sensing techniques can be used…”
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  6. 6

    Spatiotemporal Trends and Variations of the Rainfall Amount, Intensity, and Frequency in TRMM Multi-satellite Precipitation Analysis (TMPA) Data by Liu, Qian, Chiu, Long S., Hao, Xianjun, Yang, Chaowei

    Published in Remote sensing (Basel, Switzerland) (01-11-2021)
    “…The spatiotemporal mean rain rate (MR) can be characterized by the rain frequency (RF) and the conditional rain rate (CR). We computed these parameters for…”
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  7. 7

    Asian Dust Storm Monitoring Combining Terra and Aqua MODIS SRB Measurements by Qu, J.J., Xianjun Hao, Kafatos, M., Lingli Wang

    Published in IEEE geoscience and remote sensing letters (01-10-2006)
    “…Sand and dust storms (SDSs), which present environmental risks and affect the regional climate, have been worsened in the East Asian regions over the last…”
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  8. 8

    Remote sensing of fuel moisture content from ratios of narrow-band vegetation water and dry-matter indices by Wang, Lingli, Hunt, E. Raymond, Qu, John J., Hao, Xianjun, Daughtry, Craig S.T.

    Published in Remote sensing of environment (15-02-2013)
    “…Fuel moisture content (FMC) is an important variable for predicting the occurrence and spread of wildfire. Because FMC is calculated from the ratio of canopy…”
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  9. 9

    Downscaling of Surface Soil Moisture Retrieval by Combining MODIS/Landsat and In Situ Measurements by Xu, Chenyang, Qu, John, Hao, Xianjun, Cosh, Michael, Prueger, John, Zhu, Zhiliang, Gutenberg, Laurel

    Published in Remote sensing (Basel, Switzerland) (01-02-2018)
    “…Soil moisture, especially surface soil moisture (SSM), plays an important role in the development of various natural hazards that result from extreme weather…”
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  10. 10

    Haze trends over the capital cities of 31 provinces in China, 1981–2005 by Che, Huizheng, Zhang, Xiaoye, Li, Yang, Zhou, Zijiang, Qu, John J., Hao, Xianjun

    Published in Theoretical and applied climatology (01-08-2009)
    “…This paper presents the patterns and trends of haze over 31 provincial capitals in China between 1980 and 2005. The haze measurements were based on human…”
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  11. 11

    Daytime Rainy Cloud Detection and Convective Precipitation Delineation Based on a Deep Neural Network Method Using GOES-16 ABI Images by Liu, Qian, Li, Yun, Yu, Manzhu, Chiu, Long S., Hao, Xianjun, Duffy, Daniel Q., Yang, Chaowei

    Published in Remote sensing (Basel, Switzerland) (01-11-2019)
    “…Precipitation, especially convective precipitation, is highly associated with hydrological disasters (e.g., floods and drought) that have negative impacts on…”
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  12. 12

    Assessment of the Reprocessed Suomi NPP VIIRS Enterprise Cloud Mask Product by Lin, Lin, Hao, Xianjun, Zhang, Bin, Zou, Cheng-Zhi, Cao, Changyong

    Published in Remote sensing (Basel, Switzerland) (01-07-2021)
    “…The Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi National Polar-orbiting Partnership (S-NPP) satellite continually provides global…”
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  13. 13

    Estimating dry matter content from spectral reflectance for green leaves of different species by Wang, Lingli, Qu, John J, Hao, Xianjun, Hunt, E. Raymond

    Published in International journal of remote sensing (01-01-2011)
    “…Efficient and accurate detection of the temporal dynamics and spatial variations of leaf dry matter content would help monitor key properties and processes in…”
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  14. 14

    A new method for retrieving band 6 of aqua MODIS by Lingli Wang, Qu, J.J., Xiaoxiong Xiong, Xianjun Hao, Yong Xie, Nianzeng Che

    Published in IEEE geoscience and remote sensing letters (01-04-2006)
    “…The Moderate Resolution Imaging Spectroradiometer (MODIS) is a key research instrument for the NASA Earth Observing System (EOS) mission. It was successfully…”
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  15. 15

    Monitoring Surface Soil Moisture Content over the Vegetated Area by Integrating Optical and SAR Satellite Observations in the Permafrost Region of Tibetan Plateau by Xu, Chenyang, Qu, John J., Hao, Xianjun, Wu, Di

    “…Surface soil moisture (SSM), the average water content of surface soil (up to 5 cm depth), plays a key role in the energy exchange within the ecosystem. We…”
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  16. 16

    Sensitivity studies of the moisture effects on MODIS SWIR reflectance and vegetation water indices by Wang, Lingli, Qu, John J., Hao, Xianjun, Zhu, Qingping

    Published in International journal of remote sensing (01-12-2008)
    “…The effects of soil moisture and leaf water content on canopy reflectance of MODIS shortwave infrared (SWIR) bands 5, 6, and 7 and water-related indices are…”
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  17. 17
  18. 18

    Post-hurricane forest damage assessment using satellite remote sensing by Wang, Wanting, Qu, John J., Hao, Xianjun, Liu, Yongqiang, Stanturf, John A.

    Published in Agricultural and forest meteorology (15-01-2010)
    “…This study developed a rapid assessment algorithm for post-hurricane forest damage estimation using moderate resolution imaging spectroradiometer (MODIS)…”
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  19. 19

    Forest fire detection using the normalized multi-band drought index (NMDI) with satellite measurements by Wang, Lingli, Qu, John J., Hao, Xianjun

    Published in Agricultural and forest meteorology (01-10-2008)
    “…This study focuses on investigating the ability of selected satellite-derived indices, the normalized multi-band drought index (NMDI), normalized difference…”
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  20. 20

    Aerosol radiative forcing under clear, hazy, foggy, and dusty weather conditions over Beijing, China by Wang, Yan, Che, Huizheng, Ma, Jianzhong, Wang, Qiang, Shi, Guangyu, Chen, Hongbin, Goloub, Philippe, Hao, Xianjun

    Published in Geophysical research letters (01-03-2009)
    “…Direct aerosol radiative forcing (ARF) under four classic weather conditions, i.e., clear, hazy, foggy, and dusty days, over Beijing was investigated using the…”
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