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Accurate and high-resolution maps of vegetation are critical for projects seeking to understand the terrestrial ecosystem processes and land-atmosphere interactions in Arctic ecosystems, such as U.S. Department of Energy's Next Generation Ecosystem Experiment (NGEE) Arctic. However, most existing Arctic vegetation maps are at a coarse resolution and with a varying degree of detail and accuracy. Remote...
The inland lake is an important part of water supplies in arid areas, which is highly sensitive to the changes of hydrological environment and human activities. Lakes located in the arid environment are more sensitive to human activities and climate changes than in other regions. Dali Lake, the important lake in the arid areas of Inner Mongolia, has important index significance. In this paper, an...
Surface incident photosynthetically active radiation (PAR) is an important input parameter for many ecosystem models and applications. We propose a method based on a radiative transfer model for estimating surface PAR from Visible Infrared Imaging Radiometer Suite (VIIRS) TOA observations by optimizing the surface and atmospheric variables with a cost function. Validation against measurements at seven...
Satellite remote sensing provides a means of quantifying water budget variables over regions where in-situ measurements are scarce. This paper investigates the use of remote sensing products and WGHM (WaterGAP Global Hydrological Model) on water budget closure in Cyprus (35N-33W). The remote sensing products relate the terrestrial water storage change (ΔS) derived from Gravity Recovery and Climate...
An application of the Soil Moisture Agricultural Drought Index (SMADI) for global agricultural drought monitoring is presented. The index integrates surface soil moisture from the Soil Moisture and Ocean Salinity (SMOS) mission with the Moderate Resolution Imaging Spectroradiometer (MODIS) land surface temperature (LST) and Normalized Difference Vegetation Index (NDVI) and allows for global drought...
The National Ecological Observatory Network (NEON) airborne observation platform (AOP) is collecting co-registered high-resolution hyperspectral imagery, discrete and waveform lidar, and high-resolution digital photography across 48 terrestrial and 32 aquatic sites throughout the United States on an annual basis over the next 30 years. These remote sensing data, made freely available to the public,...
The National Ecological Observatory Network (NEON) remote sensing component is tasked with collecting high resolution imaging spectrometer data, discrete and waveform lidar data, and high-resolution digital camera data of the NEON sites at or near peak greenness. Due to the passive nature of the utilized imaging spectrometer and digital camera, it is of paramount important to collect the desired remote...
Thin cirrus clouds can reduce land surface long-wave transmission and re-emit energy at a colder temperature and thus making it difficult to estimate downwelling surface longwave radiation (DSLR) from satellite data. In this study, a simulation database is established in terms of radiances observed at the top of the atmosphere (TOA), cloud optical thickness (COT), atmosphere water vapor content (WVC)...
Robust validation of the ensemble precipitation datasets was vital for assessing and then improving the quality and confident application in water energy cycle related research. In this study, the performance of the Ensemble Multi-Satellite Precipitation Datasets using the Dynamic Bayesian Model Averaging scheme (EMSPD-DBMA) was evaluated and compared against the rain gauge networks, as well as the...
China is one of the important rocky desertification regions, and this paper mainly study the karst mountainous area in southern part of Yunnan Province. Under the influence of climatic changes and human activities, the rocky decertified areas have experienced positive or negative phases in recent 50 years in south Yunnan. In this paper, based on the classification type and synthetically land-scape...
This study aimed to characterize and analyze, based on MOD17 data, the spatio-temporal dynamics of GPP in the northern region of Para state, Brazilian Amazon, during a 6-year period (2001 to 2006). The study area encompasses two river basins (Upper Tapajos and Curua-Una) and covers ∼74,190 km2. The spatial variation of GPP was primarily related to the larger presence of forested areas in Upper Tapajos...
Terrestrial ecosystems influence the Earth's climate by regulating exchanges of matter and energy between the land and atmosphere [1]. On an annual basis, photosynthesis and respiration absorb and release approximately 20% of the total atmospheric carbon (C) pool [2]. In recent decades, a net imbalance between these processes, linked to strong C sinks in soils and living vegetation, has offset a substantial...
Local climate zone (LCZ) classification system provides standard urban morphological classification for urban heat island studies and weather and climate modelling. Based on the definition of the LCZ, various semi-supervised classification approaches have been proposed to generate LCZ maps for different cities using available satellite data. Given that the acquisition of training data is labor intensive,...
Anthropogenic impacts on ecosystems are prevalent and pose significant risks to vulnerable systems. In particular, wetland ecosystems are often found in urban centers with dense populations and rapid changes. Wetlands provide opportunities to study impacts of rapid urbanization and expansion, climate effects and pollution. The outcomes of human activities directly impact wetlands through coupled human-natural...
Daily Evapotranspiration (ET) is of great significance among various practical applications in the fields of water management, drought monitoring and climate change study. This paper utilized instantaneous decoupling coefficient to estimate daily LE (used interchangeably with ET in this paper) with atmospheric and surface resistances calculated from MODIS data. The field data were used only at first...
Solar-induced chlorophyll fluorescence (SIF) has been considered a direct proxy in monitoring vegetation actual photosynthesis. However, applications in the Earth science have been greatly limited due to challenges in use of remotely sensed SIF. This is because the linkage between vegetation actual photosynthesis and SIF retrieved from the canopy reflected radiance exists numerous uncertainties. It...
In this paper, we investigate the estimation of crop biophysical properties from small footprint LiDAR waveforms inversion. Due to crop heterogeneity within the same agricultural field, a classification on similar waveform clusters is performed before inversion. A Look up table (LUT) approach was adapted then, to derive the height and LAI of maize and wheat crops. The LUT was generated using the Discrete...
Multisource remote sensing data provide information of high relevance for classification and climate studies in urban areas and are of particular interest for regional and global climate science. To classify the urban environment using predefined Local Climate Zones we propose a method using feature extraction, image segmentation and decision trees. The method extracts features and segments from the...
Establishing causal relations between random variables from observational data is perhaps the most important challenge in today's Science. In remote sensing and geosciences this is of special relevance to better understand the Earth's system and the complex and elusive interactions between processes. In this paper we explore a framework to derive cause-effect relations from pairs of variables via...
This work was realized in the state of Guerrero, Mexico considered a high marginalization region in the country. The aim of this work was to generate the agricultural frontier and to determine the spatial distribution of maize and beans from satellite images using two classification algorithms. Of the entire state area (6,357, 781 hectares), 15.6% is occupied by agriculture. Of this, 244,585 hectares...
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