Results 31 to 40 of about 69,262 (347)

Comparisons of numerical phenology models and machine learning methods on predicting the spring onset of natural vegetation across the Northern Hemisphere

open access: yesEcological Indicators, 2021
The timing of vegetation spring onset is largely influenced by climate factors, making it sensitive to climate variation. Robust models that predict vegetation spring onset via the climate forcing data are needed in the land surface models for ...
Wanjing Li   +4 more
doaj   +1 more source

Acceleration of vegetation phenological changes

open access: yesGlobal Change Biology, 2022
AbstractPiao et al. (2022) presents an interesting study on vegetation phenology from a novel angle. The study examined the speed of canopy development and senescence, or the “acceleration of vegetation phenological changes”, and investigated its relationship with the trend of vegetation greening/browning and the underlying climate driving factors.
openaire   +2 more sources

Influences of Seasonal Soil Moisture and Temperature on Vegetation Phenology in the Qilian Mountains

open access: yesRemote Sensing, 2022
Vegetation phenology is a commonly used indicator of ecosystem responses to climate change and plays a vital role in ecosystem carbon and hydrological cycles. Previous studies have mostly focused on the response of vegetation phenology to temperature and
Xia Cui, Gang Xu, Xiaofei He, Danqi Luo
doaj   +1 more source

Phenological response of vegetation to upstream river flow in the Heihe Rive basin by time series analysis of MODIS data [PDF]

open access: yes, 2011
Liquid and solid precipitation is abundant in the high elevation, upper reach of the Heihe River basin in northwestern China. The development of modern irrigation schemes in the middle reach of the basin is taking up an increasing share of fresh water ...
Hu, G.   +3 more
core   +6 more sources

No Consistent Evidence for Advancing or Delaying Trends in Spring Phenology on the Tibetan Plateau [PDF]

open access: yes, 2017
Vegetation phenology is a sensitive indicator of climate change and has significant effects on the exchange of carbon, water, and energy between the terrestrial biosphere and the atmosphere.
Badeck   +69 more
core   +3 more sources

Complex responses of spring vegetation growth to climate in a moisture-limited alpine meadow. [PDF]

open access: yes, 2016
Since 2000, the phenology has advanced in some years and at some locations on the Qinghai-Tibetan Plateau, whereas it has been delayed in others. To understand the variations in spring vegetation growth in response to climate, we conducted both regional ...
Cao, Xujuan   +11 more
core   +1 more source

Vegetation Phenology Influenced by Rapid Urbanization of The Yangtze Delta Region

open access: yesRemote Sensing, 2020
Impacts of urbanization and climate change on ecosystems are widely studied, but these drivers of change are often difficult to isolate from each other and interactions are complicated.
Haiyong Ding   +3 more
doaj   +1 more source

Temporal Trends and Spatial Variability of Vegetation Phenology over the Northern Hemisphere during 1982-2012. [PDF]

open access: yesPLoS ONE, 2016
Satellite-derived vegetation phenology has been recognized as a key indicator for detecting changes in the terrestrial biosphere in response to global climate change.
Siyuan Wang   +5 more
doaj   +1 more source

A multi-temporal phenology based classification approach for Crop Monitoring in Kenya [PDF]

open access: yes, 2019
The SBAM (Satellite Based Agricultural Monitoring) project, funded by the Italian Space Agency aims at: developing a validated satellite imagery based method for estimating and updating the agricultural areas in the region of Central-Africa; implementing
Jahjah, M., Laneve, G., Luciani, R.
core   +1 more source

Spectral-Temporal Classification Using Vegetation Phenology [PDF]

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 1980
In this paper we describe a multitemporal classification procedure for crops in Landsat scenes. The method involves the creation of crop signatures which characterize multispectral observations as functions of phenological growth states. The phenological signature models spectral reflectance explicitly as a function of crop maturity rather than a ...
Robert M. Haralick   +3 more
openaire   +1 more source

Home - About - Disclaimer - Privacy