Abstract In the early 1990’s, reserves adjacent to Kruger National Park (KNP) removed their fences create a continuous landscape within Canyons Biosphere Reserve. Understanding how these interconnected multi-management systems responded changes in environmental factors and management regimes can help maintain natural large-scale heterogeneity ecological resilience. Our objective was analyze rem...

In this study, we examined the phenology of the salt marsh ecosystem across coastal Louisiana (LA) for a 16-year time period (2000–2015) using NASA’s Moderate Resolution Imaging Spectroradiometer’s (MODIS) eight-day average surface reflectance images (500 m). We compared the performances of least squares fitted asymmetric Gaussian (AG) and double logistic (DL) smoothing functions in terms of in...

Temporal-related features are important for improving land cover classification accuracy using remote sensing data. This study investigated the efficacy of phenological features extracted from time series MODIS Normalized Difference Vegetation Index (NDVI) data in improving the land cover classification accuracy of Landsat data. The MODIS NDVI data were first fused with Landsat data via the Spa...

Time series of optical imagery allow to derive land surface phenology metrics. These metrics are only complete with a statement about their uncertainty. A source uncertainty is the radiometry sensor. We propagated radiometric uncertainties within Monte-Carlo framework into phenological using TIMESAT approach based on time Normalized Difference Vegetation Index (NDVI), three-band Enhanced (EVI) ...

Land surface phenology derived from satellite data provides insights into vegetation responses to climate change. This method has overcome laborious and time-consuming manual ground observation methods. In this study, we assessed the influence of on phenological metrics rubber (Hevea brasiliensis) in South Sumatra, Indonesia, between 2010 2019. We modelled growth through normalised difference i...

Vegetation phenology is an integrative indicator of environmental change, and remotely–sensed data provide a powerful way to monitor land surface vegetation responses climatic fluctuations across various spatiotemporal scales. In this study, we synthesize the local climate, mainly temperature precipitation, large-scale atmospheric anomalies, El Niño-Southern Oscillation (ENSO)-connected dynamic...

The Caatinga is the largest nucleus of Seasonally Dry Tropical Forests (SDTF) in Neotropics. leafing patterns SDTF vegetation are adapted to current environmental and climate variability, but impacts change tend alter plants’ phenology. Thus, it necessary characterise phenological parameters evaluate relationship between drivers. From this information, possible identify dominant forces environm...

Moderate Resolution Imaging Spectroradiometer (MODIS) data forms the basis for numerous land use and land cover (LULC) mapping and analysis frameworks at regional scale. Compared to other satellite sensors, the spatial, temporal and spectral specifications of MODIS are considered as highly suitable for LULC classifications which support many different aspects of social, environmental and develo...

a r t i c l e i n f o Keywords: Coniferous forest Insect damage mapping Time-series data MODIS NDVI WDRVI Pine sawfly Insect damage is a general problem that disturbs the growth of forests, causing economic losses and affecting carbon sequestration. Coarse-resolution data from satellites are potentially useful for national and regional mapping of forest damage, but the accuracy of these methods...

The Victorian Land Use Information System (VLUIS) produces an annual land information product for the state of Victoria. It comprises three important characteristics of land information: tenure (ownership), use (property type), and cover (physical surface). The land cover component is created using a remote sensing approach. Using MODIS EVI 16-day image composites (MOD13Q1) collected over 12 mo...