Simera Sense is extending its global reach by opening an optical payload development hub in Toulouse
Simera Sense is extending its global reach by opening an optical payload development hub in Toulouse. [French translation below] Simera […]
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Simera Sense raises growth capital
Simera Sense, world leader in Earth observation optical imaging solutions, raises €13.5m in growth investment round Simera Sense, world leader […]
PART ONE: Design, launch, and operate optical Earth Observation Missions
A figure-of-merit cheat sheet for optical EO payloads. For system engineers designing and operating optical Earth Observation missions.
3 trends to impact the design of optical payloads for smaller satellites
Learn about the three main trends impacting optical design choice for EO in the newspace industry.
Cubesat Cameras: digging for new gold in a data-driven world
Cubesat cameras can index every corner of the globe as it happens. But, more importantly, they are redefining the way we think about earth intelligence.
Cubesat optical payloads: 7 Earth Observation Bottlenecks
People frequently compare Cubesat optical payloads with their significant counterparts. Unfortunately, due to several bottlenecks, this comparison is unfair.
RGB CubeSat Imager: monitoring change on earth with video
RGB Cubesat imagers are ideal to provide eyeballs on the earth for the detection of change. Video Cubesat imagers provides an additional dimension to EO.
Multispectral CubeSat Imagers: understanding the benefits and limitations.
Managing the earth’s resources is challenging. Optical payloads are evolving fast, and multispectral Cubesat imagers have major benefits for Earth Observation.
CubeSat Camera Resolution: Why MTF matters
Cubesat camera resolution is best quantified by MTF, as it is a measure of image detail is transfered. One can define the whole imaging chain using MTF.
Cubesat Imager: From Data to Foresight in 7 Steps
The main challenge of a CubSat Imager is to stream EO data to users rapidly. This challenge chan be addressed onboard by changing data into foresight.