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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Multi-sensor remote sensi" (30 stories)

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Environmental coherence framework for multi-sensor remote sensing: water hyacinth assessment in Lake Tana
Lead StoryNaturegeneral
Apr 30

Environmental coherence framework for multi-sensor remote sensing: water hyacinth assessment in Lake Tana

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE94aGpsZFlnVHBXdjR1QUM1RGF5RXBDTUwtODZvWWREcEdQYnlpajFWU1NZeWtkWHhEc1huRXRnUlRpUk1RR21SczVteUxwSXV5eUJWWlYtS0pUQTlBNHBF?oc=5" target="_blank">Environmental coherence framework for multi-sensor remote sensing: water hyacinth assessment in Lake Tana</a>  <font color="#6f6f6f">Nature</font>

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Search Results for "Multi-sensor remote sensi"

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29 stories displayed
Multi-Sensor Airborne Remote Sensing for Calibrating Hydrodynamic and Sediment Transport Models in Coastal Louisiana Wetlands (Atchafalaya–Terrebonne)
AGU Publicationstech

Multi-Sensor Airborne Remote Sensing for Calibrating Hydrodynamic and Sediment Transport Models in Coastal Louisiana Wetlands (Atchafalaya–Terrebonne)

<a href="https://news.google.com/rss/articles/CBMieEFVX3lxTE95WGtMS2xpR1FyVnJYWURwUkFEbmlQa3NwSHA4Wl81UV91WUt3b3F2VE9yR0dUZmhGVmtwWngyZEN3cUw1N1Vrb3hRczZqNHdVcDBndFFDX04tMUFkaUsteXVNaE1obmxkYjI1R1ZoWlJUdWRtWVpMSg?oc=5" target="_blank">Multi-Sensor Airborne Remote Sensing for Calibrating Hydrodynamic and Sediment Transport Models in Coastal Louisiana Wetlands (Atchafalaya–Terrebonne)</a>  <font color="#6f6f6f">AGU Publications</font>

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Assessing temporal sampling uncertainty in hydrological modelling using multi-sensor observations from GPM and TROPICS
Frontierstech

Assessing temporal sampling uncertainty in hydrological modelling using multi-sensor observations from GPM and TROPICS

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxOLUk1c3BrU1MyamJZa1BIQUIxckQ3bXRGLTBKUmIyNmdWUWxkTG0xX3B5R1ZaRlM1N2p2M3ZzUzZCOGxzYnhGMmtpWDR0TnhsTk15UjVKQnhtUlltLU9ZXy1tWTlpOEdqVFhLaGlhbjVraFRUNVF5WWFRXzhXdW8yRU1ueXZKeThEQ0RjME1XMS1kVGx4TVZF?oc=5" target="_blank">Assessing temporal sampling uncertainty in hydrological modelling using multi-sensor observations from GPM and TROPICS</a>  <font color="#6f6f6f">Frontiers</font>

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A global 400-m high-resolution soil moisture dataset derived from multi-sensor remote sensing observations
Naturegeneral

A global 400-m high-resolution soil moisture dataset derived from multi-sensor remote sensing observations

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54cXY4SXJTSG1LcldIc3plem96Zlg3cmR5SWdiSXpoWm1KS0FTVHpZUkd5QVAzSlhyZTY3S3NkTGZvZHVaaEI1UE5FN2ZFUEtqWHpUWnBMTkQ4cmVKd1pn?oc=5" target="_blank">A global 400-m high-resolution soil moisture dataset derived from multi-sensor remote sensing observations</a>  <font color="#6f6f6f">Nature</font>

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From multi-scale observations to integrated applications: a review of remote sensing for inland water quality monitoring
Frontiersgeneral

From multi-scale observations to integrated applications: a review of remote sensing for inland water quality monitoring

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxNYlBFaEdsUVdBQ3pMMzAzMHR4eWlMUkwyTl9HblRTMnY5bEZtLTZwMFd2X1N2dHlsMHdNbVlKeEFmVUFwcVFIZm5VWl9KenpLcmlYN1BSTkw0a3plWTl4TFhZeHJxYmZJcDNqcHFPaE9fLTJRVGgyT1Fac1hXeE9USGdRRS1sWWZzVjRoYXN1T3owV29ORkh2Uk0xNmlFMFJ4?oc=5" target="_blank">From multi-scale observations to integrated applications: a review of remote sensing for inland water quality monitoring</a>  <font color="#6f6f6f">Frontiers</font>

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Windward Launches Remote Sensing Intelligence Solution
Windwardworld

Windward Launches Remote Sensing Intelligence Solution

<a href="https://news.google.com/rss/articles/CBMie0FVX3lxTFB1aTJOQVBPbGJvVHhoM2dsdGRKeFZ2Mm5wejUza3NZbEZZMWNTVU41SUhjejhMTDN3aTBqQnNjOGNSSlkzcDc0d1BqZ2p2bWNmR2tIcGRzY21nbFAzakJSR2FLdVNFZDNtM3VMWWZQNHNxYlRvdWNya3ZoWQ?oc=5" target="_blank">Windward Launches Remote Sensing Intelligence Solution</a>  <font color="#6f6f6f">Windward</font>

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Satellite-based remote sensing techniques for detecting pumice rafts
Frontierstech

Satellite-based remote sensing techniques for detecting pumice rafts

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxQbUt2d0szaGU4dVdyWW5faXJCUmFvVXk1SnNuTHhTS1RrYWhGX1gxR0dTNXBLenNVcm9NRUN0VmNpQXBnSlF4TnV4UGF1VGJaM3FVOFQwTlV4NURsREJJYjBCX3dXUVYwQ2VtY2ROYmNkR0hCczRucEF6WUZfZDNCTzk0UjVMemUxcnZ6OUpybjd6NzhYcUE?oc=5" target="_blank">Satellite-based remote sensing techniques for detecting pumice rafts</a>  <font color="#6f6f6f">Frontiers</font>

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Integrating multi-spectral remote sensing and machine learning for quantifying and mapping heavy metal contamination in the Tarim River Basin, China
Natureworld

Integrating multi-spectral remote sensing and machine learning for quantifying and mapping heavy metal contamination in the Tarim River Basin, China

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5La3ZNVTFmbnVqcm5ITUFSTDhnQzIwdjhxc09fbGR6eG5sZjFUTGxqM3c4bEZ3M1Q3OEJlSnRvTHR2VnFnOXJnWjNZdmlKaS1wR3VfcU5jZFNya2s5ZkZF?oc=5" target="_blank">Integrating multi-spectral remote sensing and machine learning for quantifying and mapping heavy metal contamination in the Tarim River Basin, China</a>  <font color="#6f6f6f">Nature</font>

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Understanding Remote Sensing and Satellite Imagery
Windwardworld

Understanding Remote Sensing and Satellite Imagery

<a href="https://news.google.com/rss/articles/CBMiggFBVV95cUxNbHBXREJzU1lfOXFjdVJ4bUNGV3VOblRObHNLb1pFWEhFeGRvV2MyS0szcGxZQXdhSlgtLXBGYXZFb0lzaVVYWXNGU19yX1dWSkVxdFBrMmV3OUdLUENpdVFKMG1PSXl0WWhOTWVUS0dwamFwWWdyT05ZeGlFOW5nRDVn?oc=5" target="_blank">Understanding Remote Sensing and Satellite Imagery</a>  <font color="#6f6f6f">Windward</font>

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Editorial: Remote sensing applications in mountainous regions
Frontierstech

Editorial: Remote sensing applications in mountainous regions

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxQSnZxUGt6bkVYRTZxaFV3eUxILWp5Zm1fSmlZSmVnR0JVa1pzLXE0S1lpXzVVdDNxTVlWUkg3NEVmLVFpV3ZWejlRTkRzdTBZcFkyWmtiODd2eEMtdl9JczI0bmo5el9SclhFUV8tb1FZMFBzVW1WemdFVUdtMWF0SkRqNDdfQmtOQWZoVjJ2MDBtUThvVGZJ?oc=5" target="_blank">Editorial: Remote sensing applications in mountainous regions</a>  <font color="#6f6f6f">Frontiers</font>

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India’s Ocean Perimeter: Remote Sensing Intelligence for IOR Maritime Security
Windwardgeneral

India’s Ocean Perimeter: Remote Sensing Intelligence for IOR Maritime Security

<a href="https://news.google.com/rss/articles/CBMikAFBVV95cUxNYndRR1Q2cUZtSV84ZUFBa3dSTmpEcmhFSXZGNERvcnBtd29mRndUV2FCNTBwQXVldzI2N1pjRDI1S2FrdVo3eWUxbmM2TXM2cl9vakkyZkhIZUFoWlVLaUdvcDZRRmhyZndyUzc1MlZHZldDUmdkTl9hTnowcUhSY2p5VVMzb2VtZDAwMTdHUWE?oc=5" target="_blank">India’s Ocean Perimeter: Remote Sensing Intelligence for IOR Maritime Security</a>  <font color="#6f6f6f">Windward</font>

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Low-data cross-modal adaptation for remote sensing with proxy-enhanced multi-granularity feature caching
Naturegeneral

Low-data cross-modal adaptation for remote sensing with proxy-enhanced multi-granularity feature caching

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBnRlJMb0JsXzJMRkFKcmdiaHFCakdHWk5HZ2tPZkYyTFRLMW11WElXMmQ1VmlUaTFUSVI3bnlBaElVaDlreW9EWWhBelVQaW5iWXFBOGFsNzIwbVVRaDRZ?oc=5" target="_blank">Low-data cross-modal adaptation for remote sensing with proxy-enhanced multi-granularity feature caching</a>  <font color="#6f6f6f">Nature</font>

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Pansharpening largely preserves the normalized difference vegetation index: a multi-sensor comparison with PRISMA, Landsat 9, and field spectroscopy
Frontiersgeneral

Pansharpening largely preserves the normalized difference vegetation index: a multi-sensor comparison with PRISMA, Landsat 9, and field spectroscopy

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxQUm5DUTI0OWNHNmhaaldiVkwxV3dQR216Z1piZDVyV3YxNU4tTUc4QWx5Q1oyZG9WbE1HcmowVnFZVS1wazBjQTZOdFZZb29QVUxNN3A5NkdYUlJVM09WcTBRbHByRG1FVE40VEtuVVNmdFZLcjJrZThFTHpTdGE0SFFRb29TSU82M09kd2kwS2RFalozODRJ?oc=5" target="_blank">Pansharpening largely preserves the normalized difference vegetation index: a multi-sensor comparison with PRISMA, Landsat 9, and field spectroscopy</a>  <font color="#6f6f6f">Frontiers</font>

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Beyond AIS: Why Maritime Visibility Now Depends on Remote Sensing Intelligence
Windwardtech

Beyond AIS: Why Maritime Visibility Now Depends on Remote Sensing Intelligence

<a href="https://news.google.com/rss/articles/CBMilwFBVV95cUxQN1ViXzNVOEhtUWtGQS1XYUVwd0V6alhIR1JPWmJuV0M1TWVZczdBMlZNdEpDOUNQTmdTMWlkY3JpQjQ1QzJfZGlQR2ctOW02a1UwOUtReUdSQzhYZjM2ZnViNDBUOG5Da1F0MXNhQ2hMb2dNMUM2N0hzX21ZS0REUlhwaXJ4cFJVNTlwLW1CZEg4UFpWYmNz?oc=5" target="_blank">Beyond AIS: Why Maritime Visibility Now Depends on Remote Sensing Intelligence</a>  <font color="#6f6f6f">Windward</font>

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Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages
Naturegeneral

Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1IZGR4OVV3NDRQa0hpaEF6V3dZel8wbDhPY1o0RDFyMnctR1B3N1RUcmlUZnhRNmFiQjkwOUt6S0Z5dXFHOXhsYi1HTG5aN0steVBia1NYM1RDbWZMcllz?oc=5" target="_blank">Wheat yield prediction using integrated optical and radar remote sensing with machine learning across key phenological stages</a>  <font color="#6f6f6f">Nature</font>

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Integrating LiDAR and multispectral remote sensing data for understanding wetland-flood dynamics: a literature review
Frontiersworld

Integrating LiDAR and multispectral remote sensing data for understanding wetland-flood dynamics: a literature review

<a href="https://news.google.com/rss/articles/CBMioAFBVV95cUxQcjExVmpNc2xaTTVXYTF3eWNaZm5ZVGs5VnRSbEplckVweWlpWWZCZUo0SUZyOFZ6Yjc2alZoTHpORkRDYlhicndoaWpMVHJyRGVRU0xjYVR6Z08ySkZmQWJ4ZUpxZDVtcndkVGJGSGRELV9oQkxwRlY4OU5oSVNzTmFIWmhpaUVaV1d1N0kxenUzZ0plbzVNemVWYnAxWUVu?oc=5" target="_blank">Integrating LiDAR and multispectral remote sensing data for understanding wetland-flood dynamics: a literature review</a>  <font color="#6f6f6f">Frontiers</font>

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Resolving inherent constraints in eutrophication monitoring of small lakes using multi-source satellites and machine learning
Naturetech

Resolving inherent constraints in eutrophication monitoring of small lakes using multi-source satellites and machine learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9BQ3haVFJ6NF9BMHRCeTNOWWRUUENINDB6UlMyV05ERmwtVFhZS3FqVHExTGk4Z1ZvTmFHU1d3VkJRTlZJRTY1eDVzSkVwZ2tFQm9lWFFSdWdlMFA0TXZr?oc=5" target="_blank">Resolving inherent constraints in eutrophication monitoring of small lakes using multi-source satellites and machine learning</a>  <font color="#6f6f6f">Nature</font>

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Global landslide mapping using U-Net architecture with diverse backbones across multi-regional and multi-sensor remote sensing datasets
Frontiersgeneral

Global landslide mapping using U-Net architecture with diverse backbones across multi-regional and multi-sensor remote sensing datasets

<a href="https://news.google.com/rss/articles/CBMilgFBVV95cUxOQWF3VDFkbWdjNEJWak8ydGg3TFViYUxqb3VKUk5YRUctaGVacG5PUXpKUEY0VkdkTjVVT3lBUTBTYmNtekhVbDdNUXhONi1xSDcyZ3UtX2YySzlMZkFNbWN2MzVPT2lFU2o0NVRWMTJlOUFhQjA3VVNNcTVUcThNMk1tdkVVZE9hYmxDSXVKSTdkZnhDZFE?oc=5" target="_blank">Global landslide mapping using U-Net architecture with diverse backbones across multi-regional and multi-sensor remote sensing datasets</a>  <font color="#6f6f6f">Frontiers</font>

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Multi-sensor remote sensing captures geometry and slow-to-fast sliding transition of the 2017 Mud Creek landslide
Naturegeneral

Multi-sensor remote sensing captures geometry and slow-to-fast sliding transition of the 2017 Mud Creek landslide

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1hTkxfRktDOG5xOTcwb1IwOHc3NXlvYVNkVkhqT3R3X3ZvUE9sWVA0b1hnbGJudVNJTXBYQXpSR0VoY2xiU1Q1NTdISzNSM2ZJN3VvUEEwRXdyNkR5eDk0?oc=5" target="_blank">Multi-sensor remote sensing captures geometry and slow-to-fast sliding transition of the 2017 Mud Creek landslide</a>  <font color="#6f6f6f">Nature</font>

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Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data
Naturetech

Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9aVVhxLVFWd192YmhUaWV5aE9VZlBxUDBxOWJERC0wSXdSeWwzbnpIYXU2R0NJR1lGbnRPRHlmdDViU0FsdE5FRmprd3I4WnZZTWJ1UVlDNFBrMWhKY1hv?oc=5" target="_blank">Towards better delineation of hydrothermal alterations via multi-sensor remote sensing and airborne geophysical data</a>  <font color="#6f6f6f">Nature</font>

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Analyzing coastal dynamics by means of multi-sensor satellite imagery at the East Frisian Island of Langeoog, Germany
Naturegeneral

Analyzing coastal dynamics by means of multi-sensor satellite imagery at the East Frisian Island of Langeoog, Germany

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54WTA5UW5SMzI4ajNQaXl1U0FfNWt5NXpSQ1lmTlBTdnYxdmVWUzVZVlFkM0drREFKSEpTWWR2RzJnMXBVNnJPb0IyUDIzMXVNN1dHbThuT1VYcWxLaENn?oc=5" target="_blank">Analyzing coastal dynamics by means of multi-sensor satellite imagery at the East Frisian Island of Langeoog, Germany</a>  <font color="#6f6f6f">Nature</font>

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Multi-source remote sensing-based landslide investigation: the case of the August 7, 2020, Gokseong landslide in South Korea
Naturegeneral

Multi-source remote sensing-based landslide investigation: the case of the August 7, 2020, Gokseong landslide in South Korea

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9hUHhYS29RcFdBRW56eFpMYnRqSEtiODVUY0JFU1laWnh0Zkh5akVuSnZBa0RWeU9VdG40MXlrMm11M29jNFlZeDVoTFFqLS1wRUVER0FhenYyejV2djBn?oc=5" target="_blank">Multi-source remote sensing-based landslide investigation: the case of the August 7, 2020, Gokseong landslide in South Korea</a>  <font color="#6f6f6f">Nature</font>

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The Multi-Sensor and Multi-Temporal Dataset of Multiple Crops for In-Field Phenotyping and Monitoring | Scientific Data
Naturegeneral

The Multi-Sensor and Multi-Temporal Dataset of Multiple Crops for In-Field Phenotyping and Monitoring | Scientific Data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5DOHdlTFVLclRDLVRnSEhXY2hidnBYZGcxQ1NjX0lXNW03ZjYtQ1VEakg0UnVDd0ZxMEkwMmhDUVlYd0pFaTNiSGg3Z1hfMnhUYXBLSDR6NGhaSlg5OF93?oc=5" target="_blank">The Multi-Sensor and Multi-Temporal Dataset of Multiple Crops for In-Field Phenotyping and Monitoring | Scientific Data</a>  <font color="#6f6f6f">Nature</font>

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Multi-sensor remote sensing to map glacier debris cover in the Greater Caucasus, Georgia
Cambridge University Press & Assessmentgeneral

Multi-sensor remote sensing to map glacier debris cover in the Greater Caucasus, Georgia

<a href="https://news.google.com/rss/articles/CBMimAJBVV95cUxPNzJNOFp6cXQ4Rzk3clZ1T196eVJNcHpWSmg3cVhySWlfVmh4QXZHZzlBVmMzNmRMNEZxcXVwN2FieWVqbmFNeEN3b2pzWDE1azRWcUVyVXdrMFRnclZTSGxmRVRwaC1ZZzlJZHF0ZVQ4TEtZbDhNQzNrQUc1SlFKZGNlWEh2cUpyclRQQjNPYVR5Ty02R3FBZzk3bWttS2Utak1kMi1TY0NKM2RHOEUyakJsSU10U1lRVzlsckVONUpiN3c2SnpzcHlGYkhaLWxPT296aFJpbjhHWjludjZwc0hGS1lhWFlFaFFQbnR4RVZzTURmYlFpd00zUGVjTnpHNGVJZ2l2R1N2eXFFWUdlUFEyWmN5ZG1T?oc=5" target="_blank">Multi-sensor remote sensing to map glacier debris cover in the Greater Caucasus, Georgia</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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Semantic segmentation model of multi-source remote sensing images was used to extract winter wheat at tillering stage
Naturegeneral

Semantic segmentation model of multi-source remote sensing images was used to extract winter wheat at tillering stage

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1GVFpRdU5sWDQ1WU91eWFZUDA5ZVVIeTZjTU9uMFVvREkxc1kwZ2FCa1d5UTZHcndyOFRkOG5aWWlaRkhUbGRkTmFEdHRGb0FzTWk4cGZ1cUI3QU5FeGI0?oc=5" target="_blank">Semantic segmentation model of multi-source remote sensing images was used to extract winter wheat at tillering stage</a>  <font color="#6f6f6f">Nature</font>

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The short life of the volcanic island New Late’iki (Tonga) analyzed by multi-sensor remote sensing data
Naturegeneral

The short life of the volcanic island New Late’iki (Tonga) analyzed by multi-sensor remote sensing data

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBxVE1yUk4tZmJ6aG90SGJCdWpWdFZfU0hCYXducDljQzA3aldEZV92TFdnNzRZb3ZENkdFU3ZWS3FCMnAwT091bEhBU0c1MHlCVTI0aGFXd2VwZVFwNlY4?oc=5" target="_blank">The short life of the volcanic island New Late’iki (Tonga) analyzed by multi-sensor remote sensing data</a>  <font color="#6f6f6f">Nature</font>

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SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection
The Association for the Advancement of Artificial Intelligenceworld

SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection

<a href="https://news.google.com/rss/articles/CBMibEFVX3lxTFB5Y2ZFdUFDVEtTeHY0TTQ0cWd4d1JPV0ktZFRiWHFvdDBxUnVZcnVkbFpWY216SmNOaE5CTzZWNksyREk1RFdTWUdReE9kY1ZwOEVncm5Lbk95WldVQkhhVVJ1OUZSMkdTSnROTg?oc=5" target="_blank">SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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A Global Multi-Sensor Dataset of Surface Water Indices from Landsat-8 and Sentinel-2 Satellite Measurements
Naturegeneral

A Global Multi-Sensor Dataset of Surface Water Indices from Landsat-8 and Sentinel-2 Satellite Measurements

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFB2SVdWQXJkNy0zcDBPSHZNaXRPRk9sX3p0T0FBSGJnWW1CaGZvUElMbFYwaUktdWhTbHZqcUJiSEtjbnJYb2NxTWRjekhHNDFRUGt6emNmWnZIZzJ2WUFZ?oc=5" target="_blank">A Global Multi-Sensor Dataset of Surface Water Indices from Landsat-8 and Sentinel-2 Satellite Measurements</a>  <font color="#6f6f6f">Nature</font>

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Assessing the influence of environmental gradients on grassland aboveground biomass density estimation using GEDI and multi-source remote sensing
Natureworld

Assessing the influence of environmental gradients on grassland aboveground biomass density estimation using GEDI and multi-source remote sensing

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5BbnQzbGx3cnJ3T0ZzREYwWHE5NjFzcWNpYmhQQjdVSjFZV0xONjZESWNRV3MydUdyMG9XRU5YaVZCWTh6a1htZDFDcE5abER4RFh2QXUyOEEyYWlJbGo0?oc=5" target="_blank">Assessing the influence of environmental gradients on grassland aboveground biomass density estimation using GEDI and multi-source remote sensing</a>  <font color="#6f6f6f">Nature</font>

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Integrated remote sensing and petrological study of garnet-bearing rocks in the Arabian-Nubian shield: a case study from Wadi Shait-Wadi Gemal area, South Eastern Desert, Egypt
Naturetech

Integrated remote sensing and petrological study of garnet-bearing rocks in the Arabian-Nubian shield: a case study from Wadi Shait-Wadi Gemal area, South Eastern Desert, Egypt

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE96WHVlWVIzNTJrUUEzNzYyMGJWY1A0TTlSWlAyb1g0bHBwZXpWUXFxN3ZKdXZYYk9XRDBEYUE3NHViQWZpS2ZseUs1bXl4V2w5SEQ4aGRsSXJtVlc0WndR?oc=5" target="_blank">Integrated remote sensing and petrological study of garnet-bearing rocks in the Arabian-Nubian shield: a case study from Wadi Shait-Wadi Gemal area, South Eastern Desert, Egypt</a>  <font color="#6f6f6f">Nature</font>

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