dc.contributor | Hassan, Sawsan | en_US |
dc.contributor | Johnson, Douglas E. | en_US |
dc.creator | Louhaichi, Mounir | en_US |
dc.date.accessioned | 2019-01-10T15:21:08Z | |
dc.date.available | 2019-01-10T15:21:08Z | |
dc.identifier | https://mel.cgiar.org/dspace/limited | en_US |
dc.identifier | https://link.springer.com/chapter/10.1007/978-3-030-01440-7_53 | en_US |
dc.identifier.citation | Mounir Louhaichi, Sawsan Hassan, Douglas E. Johnson. (4/1/2019). VegMeasure: Image Processing Software for Grassland Vegetation Monitoring. Netherlands. | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/9082 | |
dc.description.abstract | Vegetative inventories, whether they are agronomic, ecologic, range, or forestry, often measure plant cover. Vegetation cover is a fundamental param- eter in many studies of plant ecology. It is used to measure the surface of the ground exposed to the direct impact of rain drops, sunlight and it is also used to monitor changes in vegetation structure over time. VegMeasure®, an image pro-cessing software, was developed to monitor vegetation cover over a period of time, through utilizing green leaf and brightness algorithms as well as K-means classifications. This study demonstrates that digital image processing of vegetation can be fast and affordable, through creating a permanent digital record that can be revisited over time. | en_US |
dc.format | PDF | en_US |
dc.language | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | arid environment | en_US |
dc.subject | digital camera | en_US |
dc.title | VegMeasure: Image Processing Software for Grassland Vegetation Monitoring | en_US |
dc.type | Conference Paper | en_US |
dcterms.available | 2019-01-01 | en_US |
dcterms.issued | 2019-01-04 | en_US |
cg.creator.id | Louhaichi, Mounir: 0000-0002-4543-7631 | en_US |
cg.creator.id | Hassan, Sawsan: 0000-0002-5057-8957 | en_US |
cg.subject.agrovoc | rangelands | en_US |
cg.subject.agrovoc | image processing | en_US |
cg.subject.agrovoc | central asia | en_US |
cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.center | Oregon State University - OSU United States | en_US |
cg.contributor.crp | CGIAR Research Program on Livestock Agri-Food Systems - Livestock | en_US |
cg.contributor.funder | International Livestock Research Institute - ILRI | en_US |
cg.contributor.project | CGIAR Research Program on Livestock Agri-Food Systems | en_US |
cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.date.embargo-end-date | Timeless | en_US |
cg.contact | m.louhaichi@cgiar.org | en_US |
cg.identifier.doi | https://dx.doi.org/10.1007/978-3-030-01440-7_53 | en_US |
dc.identifier.status | Timeless limited access | en_US |
mel.project.open | https://mel.cgiar.org/projects/237 | en_US |