A5078806591- Remote Sensing in Agriculture
- Land Use and Ecosystem Services
- Plant Water Relations and Carbon Dynamics
- Soil Geostatistics and Mapping
- Species Distribution and Climate Change
- Remote Sensing and LiDAR Applications
- Tree-ring climate responses
- Climate variability and models
- Cryospheric studies and observations
- Urban Heat Island Mitigation
- Climate change and permafrost
- Rangeland Management and Livestock Ecology
- Soil erosion and sediment transport
- Geochemistry and Geologic Mapping
- Conservation, Biodiversity, and Resource Management
- Remote Sensing and Land Use
- Plant Ecology and Soil Science
- Turtle Biology and Conservation
- Wildlife Ecology and Conservation
- Hydrology and Watershed Management Studies
- Fire effects on ecosystems
- Flood Risk Assessment and Management
- Science and Climate Studies
- Forest ecology and management
- Meteorological Phenomena and Simulations
University of Zurich
2013-2022
Swiss Re (Switzerland)
2020-2022
Avans University of Applied Sciences
2020
Wageningen University & Research
2010-2012
ISRIC - World Soil Information
2010-2012
Agriculture and Agri-Food Canada
2010
Ottawa Research and Development Centre
2007
Centre National pour la Recherche Scientifique et Technique (CNRST)
1978
Fondation Nationale des Sciences Politiques
1978
Bridge University
1978
Abstract Field observations and time series of vegetation greenness data from satellites provide evidence changes in terrestrial activity over the past decades for several regions world. Changes may consist an alternating sequence greening and/or browning periods. This study examined this effect using detection trend normalized difference index ( NDVI ) satellite between 1982 2008. Time 648 fortnightly images were analyzed a breaks analysis BFAST procedure. Both abrupt gradual detected large...
Considerable evidence exists that current global temperatures are higher than at any time during the past millennium. However, long-term impacts of rising and associated shifts in hydrological cycle on productivity ecosystems remain poorly understood for mid to high northern latitudes. Here, we quantify species-specific spatiotemporal variability terrestrial aboveground biomass stem growth across Canada's boreal forests from 1950 present. We use 873 newly developed tree-ring chronologies...
Vegetation belongs to the components of Earth surface, which are most extensively studied using historic and present satellite records. Recently, these records exceeded a 30-year time span composed preprocessed fortnightly observations (1981–2011). The existence monotonic changes trend shifts in such has previously been demonstrated. However, information on timing type was lacking at global scale. In this work, we detected major vegetation activity trends their associated (either...
Land Surface Phenology (LSP) is the most direct representation of intra-annual dynamics vegetated land surfaces as observed from satellite imagery. LSP plays a key role in characterizing land-surface fluxes, and central to accurately parameterizing terrestrial biosphere-atmosphere interactions, well climate models. In this article, we present an evaluation Pan-European its changes over past 30 years, using longest continuous record Normalized Difference Vegetation Index (NDVI) available date...
Many soil remote sensing applications rely on narrow-band observations to exploit molecular absorption features. However, broadband sensors are invaluable for surveying, agriculture, land management and mineral exploration, amongst others. These provide denser time series compared high-resolution airborne imaging spectrometers hold the potential of increasing observable bare-soil area at cost spectral detail. The wealth data coming along with these can be handled using cloud-based processing...
Vegetation forms a main component of the terrestrial biosphere and plays crucial role in land-cover climate-related studies. Activity vegetation systems is commonly quantified using remotely sensed indices (VI). Extensive reports on temporal trends over past decades time series such can be found literature. However, little remains known about processes underlying these changes at large spatial scales. In this study, we aimed quantifying relationship between potential climatic growth...
Monitoring land surface phenology (LSP) is important for understanding both the responses and feedbacks of ecosystems to climate system, representing these accurately in terrestrial biosphere models. Moreover, by shedding light on phenological trends at a variety scales, LSP provides potential fill gap between traditional (field) observations large-scale view global In this study, we review evaluate variability evolution satellite-derived growing season length (GSL) globally over past three...
Remotely sensed data are sparse, which means that have missing values, for instance due to cloud cover. This is problematic applications and signal processing algorithms require complete sets. To address the sparse issue, we present a new gap-fill algorithm. The proposed method predicts each value separately based on points in spatio-temporal neighborhood around point. computational workload can be distributed among several computers, making suitable large datasets. prediction of values...
The 20th century was a pivotal period at high northern latitudes as it marked the onset of rapid climatic warming brought on by major anthropogenic changes in global atmospheric composition. In parallel, Arctic sea ice extent has been decreasing over available satellite data records. Here, we document how these influenced vegetation productivity adjacent eastern boreal North America. To do this, used normalized difference index (NDVI) data, model simulations net primary (NPP) and tree-ring...
The net primary productivity (NPP) is commonly used for understanding the dynamics of terrestrial ecosystems and their role in carbon cycle. We a combination most recent NDVI model-based NPP estimates (from five models TRENDY project) period 1982–2012, to study cycle under prevailing climate conditions. found that 80% 67% global land area showed positive values, respectively, this period. was estimated be about 63 Pg C·y−1, with an increase 0.214 C·y−1·y−1. Similarly, mean 0.33, increasing...
Satellite image time-series (SITS) methods have contributed notably to detection of global change over the last decades, for instance by tracking vegetation changes. Compared with multi-temporal methods, temporally highly resolved SITS provide more information in a single analysis, on type and consistency change. In particular, decomposition show great potential extracting various components from non-stationary time series, which allows an improved interpretation temporal variability. Even...
Arid grassland ecosystems undergo degradation because of increasing environmental and human pressures. Degraded grasslands show vegetation cover reduction soil-patch development, leading to fragmentation changes in spatial heterogeneity. Understanding that involves development remains a challenge over large areas with limited accessibility such as the Qinghai-Tibetan Plateau. We hypothesized cover, its heterogeneity thereof time retrieved from satellite data can indicate levels. To test...
Land degradation is a global issue on par with climate change and loss of biodiversity, but its extent severity are only roughly known there little detail the immediate processes – let alone drivers. Earth-observation methods enable monitoring land in consistent, physical way scale by making use vegetation productivity and/or as proxies. Most recent studies indicate general greening trend, improved data sets analysis also show combination browning trends. Statistically based linear trends...
Abstract Snow cover impacts alpine land surface phenology in various ways, but our knowledge about the effect of snow on is still limited. We studied this relationship European Alps using satellite‐derived metrics (SCP), namely, first fall, last day, and duration (SCD), combination with (LSP), start season (SOS), end season, length (LOS) for period 2003–2014. tested dependency interannual differences (Δ) SCP LSP altitude (up to 3000 m above sea level) seven natural vegetation types, four...
Understanding the drivers of ecosystem change and their effects on services are essential for management decisions verification progress towards national international sustainability policies (e.g., Aichi Biodiversity Targets, Sustainable Development Goals). We aim to disentangle spatially effect climatological non-climatological service supply trends. Therefore, we explored time series three in Switzerland between 2004 2014: carbon dioxide regulation, soil erosion prevention, air quality...
An increasing demand for full spatio-temporal coverage of soil information drives the growing use spectroscopy. Soil spectroscopy application performed under laboratory conditions or in-field studies in semi-arid areas have shown promising results. However, when acquiring data temperate zones, limitations by vegetation-free coverage, variation moisture and management are driving coherent collection. This study explores multi-temporal imaging to increase total mapping area bare soils a...
Land surface phenology (LSP), the study of seasonal dynamics vegetated land surfaces from remote sensing, is a key indicator global change, that both responds to and influences weather climate. The effects climatic changes on LSP depend relative importance constraints in specific regions—which are not well understood at scale. Understanding underlie crucial for explaining climate change vegetation phenology.
CR Climate Research Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 41:131-149 (2010) - DOI: https://doi.org/10.3354/cr00845 Comparing scenarios of Canadian daily climate extremes derived using a weather generator Budong Qian1,*, Samuel Gameda1, Reinder de Jong1, Pete Falloon2, Jemma Gornall2 1Eastern Cereal and Oilseed Centre, Agriculture Agri-Food Canada, 960 Carling Ave, Ottawa, Ontario K1A...