Gohar Ghazaryan
Biographic Data
| ID | 8000119 |
|---|---|
| NAME | Gohar Ghazaryan |
| GIVEN NAMES | Gohar |
| FAMILY NAME | Ghazaryan |
| SIGNATURE | GHAZARYAN G |
| AFFILIATIONS | Centre for Remote Sensing of Land Surfaces University of Bonn Bonn Germany |
| ORCID | 0000-0003-4606-0140 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
Modelling the spatial impact of regional planning and climate change prevention strategies on land consumption in the Rhine-Ruhr Metropolitan Area 2017–2030
Assessing UN indicators of land degradation neutrality and proportion of degraded land for Botswana using remote sensing based national level metrics
Achieving land degradation neutrality (LDN) has been proposed as a way to stem the loss of land resources globally. To date, LDN operationalization at the country level has remained a challenge both from a policy and science perspective. Using an approach incorporating cloud‐based geospatial computing with machine learning, national level datasets of land cover, land productivity dynamics, and soil organic carbon stocks were developed. Using the …
Crop harvested area, not yield, drives variability in crop production in Iran
Increasing population and a severe water crisis are imposing growing pressure on Iranian cropping systems to increase crop production to meet the rising demand for food. Little is known about the separate contribution of trends and variability of the harvested area and yield to crop production in severely drought-prone areas such as Iran. In this study we (a) quantify the importance of harvested area and yield on trends and variability of crop pr…
No prominent works on this page.
Assessing UN indicators of land degradation neutrality and proportion of degraded land for Botswana using remote sensing based national level metrics
Achieving land degradation neutrality (LDN) has been proposed as a way to stem the loss of land resources globally. To date, LDN operationalization at the country level has remained a challenge both from a policy and science perspective. Using an approach incorporating cloud‐based geospatial computing with machine learning, national level datasets of land cover, land productivity dynamics, and soil organic carbon stocks were developed. Using the …
Crop harvested area, not yield, drives variability in crop production in Iran
Increasing population and a severe water crisis are imposing growing pressure on Iranian cropping systems to increase crop production to meet the rising demand for food. Little is known about the separate contribution of trends and variability of the harvested area and yield to crop production in severely drought-prone areas such as Iran. In this study we (a) quantify the importance of harvested area and yield on trends and variability of crop pr…
Modelling the spatial impact of regional planning and climate change prevention strategies on land consumption in the Rhine-Ruhr Metropolitan Area 2017–2030
Environmental Science (3 works) · Geography (3 works) · Environmental resource management (2 works) · Land use (2 works) · Land Use and Ecosystem Services (2 works) · Agriculture (1 works) · Agroforestry (1 works) · Agronomy (1 works) · Ancillary data (1 works) · Archaeology (1 works)