The impacts of drought on the terrestrial gross primary production (GPP) are most intense and widespread in all extreme climate events. Solar-induced chlorophyll fluorescence (SIF) is considered as a direct representative actual vegetation photosynthesis has better performance monitoring conditions than greenness-based indices (VI <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">s</sub> ) during Based spatially downscaled SIF (SIF...

Quick and accurate extraction of un-collapsed buildings from post-disaster High-resolution Remote Sensing Images (HRSIs) is imperative for emergency response. Pre-disaster HRSIs could serve as auxiliary data training models to expedite this process. However, the effectiveness trained directly on pre-disaster tends diminish when applied scenarios, mainly due notable discrepancies between these datasets. The current popular approach mitigate issue involves aligning features pre- images using...

Surface water mapping based on historical, neighbourhood, and other priori information has shown improved accuracy. However, the accuracy can be compromised due to lack of consideration for dynamics in proximity period limited utilization quantitative methods integrating multiple types information. In this study, an unsupervised surface extraction method that integrates proximity, neighbourhood from remote sensing is proposed enhance The experiments were conducted Poyang Lake, a region...

This paper studied the applicability of Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data for lithological classification in shallowly covered Eastern Yanshan Mountain China. The interpreted objects include quartz sandstone, carbonate rock, gneiss, andesite. An integrated approach was employed to process remote sensing data: First, matched filtering method, accompanied by ASTER library imagery spectra as reference, used enhance targeted information, namely remotely...

Sun-induced chlorophyll fluorescence (SIF) has recently been used for the early detection of plant stress. The response SIF to water stress is complicated by combination physiological and non-physiological dynamics in variations not well explored. This paper aims explore responses under different levels stress, analyzing data from winter wheat with four irrigation treatments (well-watered, moderate, severe, extreme stresses). Here near-infrared radiance vegetation (NIRvR) canopy reflectance...

Compared to traditional vegetation indices (VIs), Sun-induced chlorophyll fluorescence (SIF) has the advantage of rapid response drought and early detection. However, red SIF (SIF687) at different growth stages winter wheat remains unclear. Therefore, this study focuses on sets up three irrigation treatments with intensities. Spectral data collected by an automated spectral observation system are used retrieve SIF687, far-red (SIF760), Normalized Difference Vegetation Index (NDVI),...

The quantification of NPP plays a crucial role in ensuring food security. Previous studies have established noteworthy correlation between the near-infrared radiance vegetation (NIRv,Rad) and NPP. However, limited research has been conducted to investigate impact droughgt on relationship NIRv,Rad. To address this gap, we constructed four distinct water stress gradients (well-watered, mild, moderate, severe) assess effectiveness NIRv,Rad monitoring drought-induced variations for winter wheat....

Solar-induced chlorophyll fluorescence (SIF) from ground, airborne, and satellite-based observations has been increasingly used in drought monitoring recently due to its close relationship with photosynthesis. SIF emissions respond rapidly droughts, relative the widely vegetation indices (VIs), thus indicating their potential for early monitoring. The response of droughts can be attributed confounding effects both physiology canopy structure. In order reduce reabsorption scattering effects,...

Abstract Lithological mapping in weathered and vegetated coastal zone is always a crucial but challenging issue for geological remote sensing. This study tested the applicability of Sentinel-2A ASTER GDEM data lithological Shanwei district, southern China. Here, comprehensive scheme tuff granite outcrops extraction classification was employed to process sensing data: 1) Using matched filtering with image-derived spectra as references, representative outcrop-related patches were preliminarily...

Digital Outcrop Models (DOMs) are becoming increasingly attractive tools in geoscientific fields. Light Detection and Ranging (LiDAR) is the most common used technology to create such 3D models recently, but not applicable for fieldwork current geological survey because of their high cost weight. Fortunately, advent Structure-from-Motion (SfM) provides a low-cost effective method creating virtual 3-D outcrops. This study presents routine workflow using SfM reliable accurate DOM from field...

&amp;lt;p&amp;gt;Solar-induced chlorophyll fluorescence (SIF) from the ground, airborne to satellite-based observations has been increasingly used in drought monitoring recently, due its close relationship with photosynthesis. SIF emissions do respond rapidly drought, relative wide vegetation indices (VIs, e.g., Normalized Difference Vegetation Index (NDVI)), thus indicating potential for early monitoring. The response of can be attributed confounding effects both physiology and canopy...

This study introduces a novel Remote Sensing (RS) Urban Prediction (UP) task focused on future urban planning, which aims to forecast layouts by utilizing information from existing and planned change maps. To address the proposed RS UP task, we propose UP-Diff, leverages Latent Diffusion Model (LDM) capture positionaware embeddings of pre-change In specific, trainable cross-attention layers within UP-Diff's iterative diffusion modules enable model dynamically highlight crucial regions for...

As the traditional geological cross section measurement, artificial traverse method was recently substituted by using point coordinates data. However, it is still crux of matter that how to acquire high-precision data quickly and economically. Thereby, backpack Lidar presented on premise principle in this issue. Undoubtedly, technique, one booming international active remote sensing techniques, a powerful tool obtaining precise topographic information, 3-D building real model. With field...

Accurate terrain models are critical for studying the formation and development of slot canyons. However, canyon landforms, it is challenging to generate comprehensive high-resolution morphological data by individual observation due inaccessibility steep walls on either side complexity field environment, such as variable-slope terrain, partial vegetation cover, lack satellite signal. Off-the-shelf surveying techniques, including Unmanned Aerial Vehicles (UAV) photogrammetry Backpack Mobile...

Identification of minerals in thin sections using intelligent methods is a very complex and challenging task, which mineralogists computer scientists are faced with. In order to effectively calculate the mineral assemblages oxide percentage crystalline rock, we proposed an integrated approach based on object-based image analysis (OBIA) electron probe microscopic analyzer (EPMA). This contains following steps: 1) acquisition chemistry data back-scattered (BSE) images; 2) segmentation...