As being an essential tool for estimating spatial continuous data, interpolation methods have been applied to various disciplines concerned with the Earth’s surface. In the paper, six spatial interpolation algorithms, including an internationally popular ANUDEM method and five other commonly used interpolation methods, were applied in three different landform regions, that is, hills, mountains ...

We propose to use wireless sensor networks to assess the accuracy and application of Digital Surface Models (DSM) for the study of shadowing and solar radiation over the built environment. Using the ability of sensor network data to provide information about solar radiation and predicting the exact time of the day that the Sun starts radiating a sensor, a comparative study and statistical analy...

The objective of this work is to present an update to the daily precipitation gridded set developed by Xavier, King and Scanlon (2016), where the previous dataset is namely v2 and the new one is v2.1. The v2.1 gridded data uses 9,259 rain gauges relative to 3,630 in v2. We also extend the period of the gridded data by two years (v2.1 is from Jan/01/1980 to Dec/12/2015 while v2 is from Jan/01/19...

This study presents a method to estimate land surface temperature (LST) by calibrating spatial interpolation using satellite-derived surface emissivity. Four spatial interpolation methods including Inverse Distance Weighting (IDW), Spline, Kriging, and Cokriging were tested to interpolate LST in southern New England using ground temperatures measured at national weather stations (NWS) in summer...

Aim Species distribution maps are essential for assessing extinction risk and guiding conservation efforts. However, most come sourced as expert-drawn range with known issues of accuracy or developed overly complex modelling procedures. Thus, data-driven alternatives that accessible reliable a welcome addition to the spatial toolkit. Here, we geospatial workflow refine species from its extent o...

Global Navigation Satellite System (GNSS)-Reflectometry (GNSS-R) technology has opened a new window for ocean remote sensing because of its unique advantages, including short revisit period, low observation cost, and high spatial-temporal resolution. In this article, we investigated the potential estimating swell height from delay-Doppler maps (DDMs) data generated by spaceborne GNSS-R. Three o...

Laser scanning via LiDAR is a powerful technique for collecting data necessary Digital Terrain Model (DTM) generation, even in densely forested areas. observations located at the ground level can be separated from initial point cloud and used as input generation of interpolation. This paper proposes quantitative analysis accuracy DTMs (and derived slope maps) obtained focused on conditions comm...