表3:Validation of the Scene Labels with Respect to HumanAnnotation(基于人工注释验证场景标签的结果,原文中并未提及此表作何用途) 3. 基线模型用于单标签和多标签场景分类 为了为社区提供基线模型和结果,我们选择了两种经过良好验证的卷积神经网络(CNN)架构进行图像分类:ResNet和DenseNet。以下简要描述了这些架构以及...
However, due to a lack of a comprehensive area dataset based on remote sensing, the general inspection conducted in previous studies did not reveal further details about the hydrological asynchrony between the open water and total inundation areas of Lake Chad. The relationship between the northern ...
acquired March 8, 2023, for tile CU H027V019. Left: Landsat Collection 2 U.S. Analysis Ready Data Surface Reflectance image. Right: DSWE Interpreted Layer (INTR) layer. Snow cover is spatially and temporally variable and is often concentrated in remote or inaccessible land regions making sp...
the implementation of the paper"Building Change Detection for Remote Sensing Images Using a Dual Task Constrained Deep Siamese Convolutional Network Model " - fitzpchao/DTCDSCN
For each colony, a 3D model was reconstructed using the photogrammetry software Agisoft Metashape Professional (version 1.5.0 build 7618) following five steps: (i) estimating image quality as function of the sharpness, exposure, focus, resolution and field depth of the images; (ii) aligning the...
Here we provide the ‘Global Spectrum of Plant Form and Function Dataset’, containing species mean values for six vascular plant traits. Together, these traits –plant height, stem specific density, leaf area, leaf mass per area, leaf nitrogen content p
For over three decades, the eddy covariance technique1has been used to measure land-atmosphere exchanges of greenhouse gases and energy at sites around the world to study and determine the function and trajectories of both ecosystems and the climate system. The technique allows nondestructive measureme...
An IPCC Special Report on the Impacts of Global Warming of 1.5°C Above Pre-industrial Levels and Related Global Greenhouse Gas Emission Pathways, in the Context of Strengthening the Global Response to the Threat of Climate Change, Sustainable Development, and Efforts to Eradicate Poverty 49–92 ...
Full size image We show that vegetation type is an important predictor of summer surface energy flux magnitudes. This importance is specifically pronounced for H and LE (Fig.1b, c) for which vegetation type explains on average 56.3% (range: 53.8–58.8%) and 71.7% (range: 61.4–81.9%) of...
54,55. It was the first attempt using remote-sensed ocean chlorophyll to produce a gap-filled dataset over the Indian Ocean. However, their methodology is based on filtering techniques, essentially relying on the information of surrounding spatio-temporal values for estimating the missing value and...