Hamed Gholizadeh
Biographic Data
| ID | 7470403 |
|---|---|
| NAME | Hamed Gholizadeh |
| GIVEN NAMES | Hamed |
| FAMILY NAME | Gholizadeh |
| SIGNATURE | GHOLIZADEH H |
| AFFILIATIONS | Oklahoma State University |
| ORCID | 0000-0002-4770-7893 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Parcel level temporal variance of remotely sensed spectral reflectance predicts plant diversity
Over the last two decades, considerable research has built on remote sensing of spectral diversity to assess plant diversity. The spectral variation hypothesis (SVH) proposes that spatial variation in reflectance data of an area is positively associated with plant diversity. While the SVH has exhibited validity in dense forests, it performs poorly in highly fragmented and temporally dynamic agricultural landscapes covered mainly by grasslands. Su…
A climatic deconstruction of recent drought trends in the United States
We present high spatial-resolution trends of the Palmer drought severity index (PDSI), potential evapotranspiration (PET), and selected climate variables from 1979–2013 for the contiguous United States in order to gain an understanding of recent drought trends and their climatic forcings. Based on a spatial grouping analysis, four regions of increasing (upper Midwest, Louisiana, southeastern United States (US), and western US) and decreasing (New…
No prominent works on this page.
A climatic deconstruction of recent drought trends in the United States
We present high spatial-resolution trends of the Palmer drought severity index (PDSI), potential evapotranspiration (PET), and selected climate variables from 1979–2013 for the contiguous United States in order to gain an understanding of recent drought trends and their climatic forcings. Based on a spatial grouping analysis, four regions of increasing (upper Midwest, Louisiana, southeastern United States (US), and western US) and decreasing (New…
Parcel level temporal variance of remotely sensed spectral reflectance predicts plant diversity
Over the last two decades, considerable research has built on remote sensing of spectral diversity to assess plant diversity. The spectral variation hypothesis (SVH) proposes that spatial variation in reflectance data of an area is positively associated with plant diversity. While the SVH has exhibited validity in dense forests, it performs poorly in highly fragmented and temporally dynamic agricultural landscapes covered mainly by grasslands. Su…
Environmental Science (2 works) · Geography (2 works) · Climate change (1 works) · Climate variability and models (1 works) · Climatology (1 works) · Diversity (politics (1 works) · Ecology (1 works) · Evapotranspiration (1 works) · Geology (1 works) · Hydrology and Drought Analysis (1 works)