Global change is impacting forests worldwide, threatening biodiversity and ecosystem
services including climate regulation. Understanding how forests respond is critical to forest …

Timely and accurate knowledge about the geospatial distribution of crops at regional to
continental scales is crucial for forecasting crop production and estimating crop water use …

Land cover datasets are essential for modeling and analysis of Arctic ecosystem structure
and function and for understanding land–atmosphere interactions at high spatial resolutions …

Resource and logistical constraints limit the frequency and extent of environmental
observations, particularly in the Arctic, necessitating the development of a systematic …

Multi-scale modeling of Arctic tundra vegetation requires characterization of the
heterogeneous tundra landscape, which includes representation of distinct plant functional …

Heterotrophic respiration (HR), the aerobic and anaerobic processes mineralizing organic
matter, is a key carbon flux but one impossible to measure at scales significantly larger than …

Mapping target crops earlier than the harvest period is an essential task for improving
agricultural productivity and decision-making. This paper presents a new method for early …

In GIScience, the regionalization method is widely used for geographical data mining,
spatiotemporal pattern discovery, and regional studies. An ideal regionalization method …

Finding correlations among data is one of the most essential tasks in many scientific
investigations and discoveries. This paper addresses the issue of creating a static volume …

We investigate methods for geospatiotemporal data mining of multi-year land surface
phenology data (250 m2 Normalized Difference Vegetation Index (NDVI) values derived …