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In the field of remote sensing, spectral imaging techniques are often classified into three categories based on spectral resolution: multispectral, hyperspectral, and ultraspectral. Generally, with the same spatial resolution, the higher the spectral resolution, the more image bands there are, the larger the data volume, and the richer the information obtained about the object being measured.

Rice is one of Indonesia's most important food crops, with approximately 90% of the population relying on it as a staple food. Its production directly impacts national food security and social stability. As the world's third-largest rice producer, Indonesia cultivates over 14 million hectares of rice, primarily in Java, Sumatra, and Bali. However, due to climate change, arable land loss, and diversified planting patterns, accurately monitoring rice acreage and growth status presents significant challenges. Accurate and efficient extraction of rice acreage information is crucial for agricultural monitoring, farmland management, food yield assessment, and policy formulation.

In the field of agricultural remote sensing, hyperspectral technology reveals the health status of vegetation by capturing fine spectral information of crop reflectance. The red edge (680-750 nm) is a rapid transition region in the vegetation spectrum from low red light reflectance to high near-infrared reflectance, and is extremely sensitive to chlorophyll content, stress conditions, and growth stages. This article will introduce six red edge indices (REP, NDVIre, RedEdgeSlope, RedEdgeArea, mSRre, and RedEdgeCurvature) based on hyperspectral data spectral curves, including their calculation methods, application scenarios, and comparisons with traditional vegetation indices (such as NDVI and SAVI), revealing the unique advantages of hyperspectral indices.

Xplore, a dual-use space company, launched its first CubeSat hyperspectral satellite, XCUBE-1, from Vandenberg Space Center in California at 3:34 a.m. Pacific Standard Time on December 21, 2024. The satellite was launched in a co-orbital mission with SpaceX, carried out by launch integrator Maverick Space Systems in collaboration with SpaceX, and was deployed into a mid-inclination orbit. This marks a significant milestone in Xplore's constellation deployment and service offerings.

Oil palm is an important economic crop, and its distribution information is crucial for agricultural monitoring, land use assessment, and resource management. This paper proposes a multi-source remote sensing method combining Sentinel-1 and Sentinel-2 data for high-precision extraction of oil palm distribution information. Sentinel-1 provides all-weather, all-time radar imagery, unaffected by weather conditions; Sentinel-2 provides optical imagery containing rich information such as vegetation indices and texture features. The complementarity of these two sources provides favorable conditions for oil palm identification.

On May 30, 2025, a major landslide occurred at the Gunung Kuda quarry on the edge of Cipanas village, Dukupuntang district, Cirebon administrative region, West Java, Indonesia. As of June 3, 2025, it had caused 21 deaths.

The purpose of atmospheric correction is to eliminate the influence of atmospheric and light factors on the reflection of ground objects, obtain the real physical model parameters such as ground object reflectivity and emissivity, and surface temperature, and use them to eliminate the influence of water vapor, oxygen, carbon dioxide, methane and ozone in the atmosphere on the reflection of ground objects, and to eliminate the influence of atmospheric molecules and aerosol scattering.

Firefly is Pixxel's flagship hyperspectral imaging satellite constellation, featuring six commercially available hyperspectral satellites with the highest resolution to date.

Methane, a climate killer known as the "invisible greenhouse gas," can have a warming effect up to 84 times that of carbon dioxide within 20 years. However, due to its dispersed emission sources and the difficulty in monitoring it, it has long been a major obstacle to global carbon reduction. With breakthroughs in hyperspectral remote sensing technology, humanity has finally gained the ability to accurately track methane from space.

Accurately mapping the composition of forest communities to different cover categories is crucial for using models with specific parameter configurations to simulate the ecological processes corresponding to each cover category. The structural characteristics of forests and their successional stages are key factors in the construction of forest gap models and the assessment of ecosystem function changes. For example, regenerated tropical forests are considered a significant sink for atmospheric carbon dioxide.