AI揭秘:卫星图像显示人类海洋活动影响日益扩大
研究显示,世界上75%的工业渔船隐藏在公众视线之外。AI揭秘:卫星图像显示人类海洋活动影响日益扩大。发表在《自然》杂志上的一项新研究提供了前所未有的视角,了解了以前未绘制的海洋工业用途及其变化方式。
遥感
remote-sensing
研究显示,世界上75%的工业渔船隐藏在公众视线之外。AI揭秘:卫星图像显示人类海洋活动影响日益扩大。发表在《自然》杂志上的一项新研究提供了前所未有的视角,了解了以前未绘制的海洋工业用途及其变化方式。
在迅速发展的遥感领域,整合先进技术对于优化洞察力和做出决策至关重要。在这一领域最重要的进步之一是将 ENVI® 和 ENVI Connect 结合起来。
随着科技的不断发展,遥感技术在农业领域得到了广泛的应用。遥感技术结合地面观测数据,可以用于估计土地土壤属性,如土壤类型、质地、含水量等。这对于土壤管理和农业生产具有重要意义,可以优化土壤施肥方案、提高农作物产量。
通过利用卫星和航空传感器获取的高分辨率影像数据,我们能够检测和监测土地面临的不同干扰因素,如采矿活动、土地退化和土地污染等。这种监测能够帮助我们及时发现土地资源面临的潜在问题,并制定相应的保护和修复措施。本文将详细介绍遥感技术在土地干扰监测中的应用,并结合真实案例加以说明。
土地生态环境评价是保护和恢复生态系统功能的重要手段,它对于科学合理地规划土地利用、推动生态建设具有重要意义。遥感技术作为一种非接触式、广覆盖性的监测手段,能够获取大范围土地信息,并提供丰富的土地生态环境相关指标,如植被指数、土地蓄水能力等。利用遥感技术进行土地生态环境评价,能够全面客观地评估土地的生态环境质量,为生态保护和恢复提供科学依据。
本文将探讨遥感技术在土地变化监测中的应用。通过比较不同时间点的遥感影像,遥感技术能够帮助评估土地资源的可持续利用、检测非法占地行为,并为土地规划和管理提供决策支持。我们将详细介绍遥感技术在土地变化监测中的实现方式,并提供真实案例加以说明。
土地利用/覆盖分类是土地管理和规划的重要任务之一。遥感技术作为一种强大的工具,广泛应用于土地利用/覆盖分类中,通过获取和分析遥感影像数据,可以实现自动化的土地分类和监测。本文将详细介绍遥感在土地利用/覆盖分类中的应用,包括遥感数据获取、分类方法、实现方式以及相关的真实案例。
超分辨率虽然在技术上没有提高数据的实际分辨率,但有可能显着提高卫星图像的视觉质量,有效地创建高清 (HD) 图像。在商业环境中,SR 已被用于将图像从 30cm 到 15cm 分辨率或 50cm 到 30cm 分辨率细化。有些人甚至冒险增强低分辨率开源数据,例如将 European Sentinel-2 10m 数据提高到令人印象深刻的 2.5m 分辨率。更重要的是,这种增强可以应用于所有光谱带。
卫星成像技术的进步使人们有可能越来越多地了解自然灾害的影响。这主要归功于多时相卫星图像,它是灾害管理和降低风险的有力工具。多时相卫星图像结合了在不同时间拍摄的图像,以创建一个区域的更详细的图片。这些图像可以提供有关洪水、风暴、地震和山体滑坡等灾害影响的宝贵信息。
从无人机和卫星到机载传感器和激光雷达,遥感和地理空间信息科学的进步正在推动数据采集、处理和维护创新方法的发展。本文着眼于这些如何支持适合目的的土地管理。
随着人工智能技术的不断发展,遥感技术也在向着更加智能化、高效化的方向发展。其中,AI遥感大模型成为了一种重要的技术手段,能够为遥感应用带来新的可能性。本文将介绍AI遥感大模型的基本概念、原理和应用。
随着科技的进步和社会的发展,生态环境保护日益受到广泛关注。在生态环境管理领域,遥感监测技术已经成为一种普遍的手段,它能够为生态环境管理提供大量的空间数据和信息,实现对生态环境的全面、精细化监测,从而实现生态环境保护的智慧升级。
If you are looking for the best drones to spend your money on, we’ve put together a list of the best drones and UAVs with their top features.
DigitalGlobe’s cutting-edge high resolution Worldview satellite carves out ridiculously crisp imagery at 31 cm in 8 spectral bands.
Sentinel 2 has a total of 13 bands. Each band is 10, 20 or 60 meters in pixel size. This includes red, green, blue, near infrared and short infrared bands.
The EM radiation that makes it to Earth is called incident light. From here, Earth’s features reflect, absorb and transmit different amounts of energy.
GOES and POES are both operational environmental satellites. But they actually share more in common such as their 40+ year legacy in space.
Supervised classification creates training areas, signature file and classifies. Unsupervised classification generate clusters and assigns classes.
The Landsat file name structure gives you the what, where, when and
If you want to display rasters in true color, you will have to combine the red, green & blue bands. The ArcGIS Composite Bands tool creates RGB composites.
Dark object subtraction, radiative transfer models and atmospheric modelling are common techniques used to for atmosphere correction in remote sensing.
Selective availability is the intentional degradation of GPS signals. When selective availability was enabled, this added error horizontally and vertically to GPS signals.
The agile Pleiades satellite constellation is comprised of Pleiades 1A and 1B. They offer dynamic image acquisition at 50cm panchromatic & 2m multispectral.
SPOT-1 (Satellite Pour l’Observation de la Terre) was a French commercial satellite launched in 1986 initiated by the French Space Agency (CNES).
How would you like to wave your magic wand and find out how far everything is away from you? No magic wands necessary. This is how LiDAR works.
Imagine being able to rewind forty years back in time. For any given place and time. Then, see how much it’s changed. You can through the Landsat Program!
Active sensors illuminates its target and measures that reflected backscatter to the sensor. Passive sensors measure natural energy from the sun.
Multispectral vs Hyperspectral imagery. Hyperspectral contains hundreds of narrow bands. Multispectral usually consists of only 3 to 10 wider bands.
This list of earth-shattering remote sensing applications will change the way you feel about how this industry is changing our world and the way we think.
Object-based Image Analysis (OBIA) segments an image by grouping pixels together into vector objects. Using these objects, you classify as land cover types.
We look at the digital image classification techniques in remote sensing (such as supervised, unsupervised & object-based) to extracts features of interest.
Every object has its own unique composition. This is equivalent to it having its own spectral signature. Choose the spectral bands for ideal classification
AVHRR (Advanced Very High Resolution Radiometer) spatial resolution is actually very coarse at 1.1 km. But its revisit times are “very high” at just one day.
Copernicus is the world’s largest and most ambitious Earth observation program in existence today with its Sentinel satellites taking center stage.
As our population grows and climate is at risk, remote sensing of the environment solves large-scale environmental issues for the land, ocean and atmosphere.
If you want the sharpest satellite imagery in the world, harness the power of DigitalGlobe imagery. Each pixel in a Worldview-3 image is about 31 cm.
Have you ever wondered how your GPS receiver works? They use a technique called trilateration, which measures distances, not angles as in triangulation.
IKONOS provides panchromatic, natural-color, color-infrared and stereo images for cartographic, remote sensing and photogrammetric applications.
During an 11-day mission, Space Shuttle Radar Topography (SRTM) mission captured Earth’s elevation at 1 arc-second (30 meters) for over 80% of the Earth.
Nearest neighbor classification is a powerful approach to classify segmented objects based on specific statistics and training samples chosen by the user.
A polar orbit satellite travels pole-to-pole. For a sun-synchronous orbit, it passes over any given point on Earth’s surface at the same local solar time.
NDVI quantifies vegetation with the difference between near-infrared (which is reflected by vegetation) and red light (which is absorbed by vegetation).
The atmospheric window allows specific bands of electromagnetic (EM) radiation to reach the Earth. On the other hand, absorption bands prevent EM radiation.
While geosynchronous satellites can have any inclination, the key difference is that satellites in geostationary orbit lie on the same plane as the equator.
Remote sensing is the science of obtaining information without physically being there. The 3 most common methods of capture is airplane, satellite & drones.
Have you ever wondered about your GPS accuracy? A well-designed GPS receiver can achieve a horizontal accuracy of 3 meters or better. But factors affect it.
Despite popular belief MODIS is a satellite, it’s actually an instrument on-board a satellite. It has 36 bands, 250-1000 meter resolution and 2-day revisits.
A list of the 50 most iconic satellites put up into space to monitor our planet. We show the uses and types of satellites like weather and GPS satellites.
We list Landsat 8 bands as well as popular band combinations which includes coastal, blue, green, red, NIR, SWIR-1, SWIR-2, cirrus and two thermal bands.
A CubeSat is a miniaturized satellite roughly the size of a Rubik’s cube. They’re small enough to hold in your hand and inexpensive to build.
Aerial photography is a type of photography in which you capture images that are distant, from “in the air” using drones, satellites, and more.
A point cloud is a collection of points for storing data in LiDAR systems. Pulses of light represent the millions of points in a point cloud.
Spatial resolution is how detailed objects are in an image based on pixels. But spectral resolution is the amount of spectral detail in a band.
Whether you’re hiking, geocaching, fishing, snowmobiling, or hunting, we are here to guide you through some of the best handheld GPS today.
Synthetic Aperture Radar (SAR) is an emerging technology in remote sensing with the advantage to see in any weather condition and even at night.
Hyperspectral imaging takes a spectrum of light and divides the light into hundreds of narrow spectral bands. For example, Hyperion has 242 bands at 30m GSD.
In order to continue the Landsat program’s long-standing legacy, NASA and the USGS launched Landsat-9 in September 2021 as the 9th satellite.
Photogrammetry uses photographs from at least two different vantage points. It obtains depth and perspective because of separate points of observation.