Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Angela Kross"'
Publikováno v:
Canadian Journal of Remote Sensing, Vol 50, Iss 1 (2024)
Forests are crucial for ecosystem health, climate regulation, and biodiversity. However, many tree species face extinction threats, requiring active monitoring for conservation. The spectral variation hypothesis (SVH) suggests that spectral diversity
Externí odkaz:
https://doaj.org/article/a3345917fe2645279289e8f8a61afd17
Autor:
Yisa Ginath Yuh, Kouamé Paul N'Goran, Angela Kross, Marco Heurich, H Damon Matthews, Sarah E Turner
Publikováno v:
PLoS ONE, Vol 19, Iss 12, p e0311816 (2024)
The Congo Basin tropical forests are home to many endemic and endangered species, and a global hotspot for forest fragmentation and loss. Yet, little has been done to document the region's rapid deforestation, assess its effects and consequences, or
Externí odkaz:
https://doaj.org/article/31661f6db85c4bd0ace88d44e414b42c
Publikováno v:
Data in Brief, Vol 41, Iss , Pp 107941- (2022)
The dataset presented here provides the degree of urban sprawl across 33 Census Metropolitan Areas (CMAs) in Canada of 2011 together with the 469 Census Subdivisions (CSDs) located within the 2011 boundaries of the CMAs, for the years 1991, 2001, and
Externí odkaz:
https://doaj.org/article/f2f8c6480f66427a85a8d32cf8687b79
Autor:
Angela Kross, Evelyn Znoj, Daihany Callegari, Gurpreet Kaur, Mark Sunohara, David R. Lapen, Heather McNairn
Publikováno v:
Remote Sensing, Vol 12, Iss 14, p 2230 (2020)
Crop yield prediction prior to harvest is important for crop income and insurance projections, and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and predictor
Externí odkaz:
https://doaj.org/article/73ff1fdc164e4a0295907a2c13c4ba87
Publikováno v:
Landscape Ecology. 38:383-408
Publikováno v:
Environmental Impact Assessment Review. 97:106851
Autor:
Mark Sunohara, Daihany Callegari, Evelyn Znoj, Heather McNairn, Angela Kross, David R. Lapen, Gurpreet Kaur
Publikováno v:
Remote Sensing, Vol 12, Iss 2230, p 2230 (2020)
Remote Sensing; Volume 12; Issue 14; Pages: 2230
Remote Sensing; Volume 12; Issue 14; Pages: 2230
Crop yield prediction prior to harvest is important for crop income and insurance projections, and for evaluating food security. Yet, modeling crop yield is challenging because of the complexity of the relationships between crop growth and predictor
Publikováno v:
Remote Sensing of Environment. 183:239-249
Peatland net ecosystem production is a key variable to assess changes in the functional role of peatlands in the global carbon cycle. Light use efficiency (LUE) models in combination with satellite data have been used to estimate production for most
Autor:
David R. Lapen, Mark Sunohara, Angela Kross, Heather McNairn, Catherine Champagne, Graham Wilkes
Publikováno v:
Agricultural Water Management. 160:118-131
Controlled tile drainage (CTD) has environmental and crop production benefits, but the effects of CTD on crop growth under varying weather conditions is not well-documented. This study evaluates the responsiveness of field-scale corn and soybean grow
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 34:235-248
Leaf area index (LAI) and biomass are important indicators of crop development and the availability of this information during the growing season can support farmer decision making processes. This study demonstrates the applicability of RapidEye mult