Journal articles: 'Microwave remote sensing'

1

Parry, J. T. "Satellite microwave remote sensing." Photogrammetria 40, no. 1 (September 1985): 66–67. http://dx.doi.org/10.1016/0031-8663(85)90048-1.

Full text

APA, Harvard, Vancouver, ISO, and other styles

2

Gawarecki, S. J. "Satellite microwave remote sensing." Dynamics of Atmospheres and Oceans 9, no. 3 (August 1985): 316–18. http://dx.doi.org/10.1016/0377-0265(85)90027-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

3

Croom, D. L. "Satellite Microwave Remote Sensing." IEE Proceedings F Communications, Radar and Signal Processing 132, no. 2 (1985): 130. http://dx.doi.org/10.1049/ip-f-1.1985.0030.

Full text

APA, Harvard, Vancouver, ISO, and other styles

4

Krohn, M. D. "Satellite microwave remote sensing." Earth-Science Reviews 22, no. 3 (November 1985): 249. http://dx.doi.org/10.1016/0012-8252(85)90072-8.

Full text

APA, Harvard, Vancouver, ISO, and other styles

5

Carver, K. R., C. Elachi, and F. T. Ulaby. "Microwave remote sensing from space." Proceedings of the IEEE 73, no. 6 (1985): 970–96. http://dx.doi.org/10.1109/proc.1985.13230.

Full text

APA, Harvard, Vancouver, ISO, and other styles

6

Graham, Alastair J. "Introduction to Microwave Remote Sensing." Photogrammetric Record 24, no. 126 (June 2009): 199. http://dx.doi.org/10.1111/j.1477-9730.2009.00531_1.x.

Full text

APA, Harvard, Vancouver, ISO, and other styles

7

Marghany, Maged. "Oil Spills and Remote Sensing Monitoring Challenges." International Journal of Oceanography & Aquaculture 7, no. 1 (2023): 1–12. http://dx.doi.org/10.23880/ijoac-16000234.

Full text

Abstract:

This article has illustrated a handful of other concepts in addition to oil spills. This study investigated the harm caused by oil spills in a region, as well as the consequences of oil exploration and extraction on the environment, economy, and politics. The concept of oil spills, their causes, their different types, and the impacts of these calamities on the marine ecosystem are all covered in detail in this review. Oil spill management and response are essential for the environment and society. This review also provides basic information on monitoring oil spills from space. Optical and microwave remote sensing techniques have been used to address oil spill monitoring issues. The possibility of false alarms from lookalikes is the main problem when using radar and microwave data to monitor an oil spill. Therefore, numerous issues must be addressed to detect oil spills in space. It is crucial to combine these technologies with additional approaches such as in situ measurements and ground-based observations.

APA, Harvard, Vancouver, ISO, and other styles

8

Kumar, Suresh, and Vijay Bhagat. "Remote Sensing Satellites for Land Applications: A Review." Remote Sensing of Land 2, no. 2 (July 4, 2019): 96–104. http://dx.doi.org/10.21523/gcj1.18020203.

Full text

Abstract:

Satellite remote sensing offers a unique opportunity in deriving various components of land information by integrating with ground based observation. Currently several remote sensing satellites are providing multispectral, hyperspectral and microwave data to cater the need of various land applications. Several old age remote sensing satellites have been updated with new generation satellites offering high spatial, spectral and temporal resolution. Microwave remote sensing data is now available with high spatial resolution and providing land information in cloudy weather condition that strengthening availability of remote sensing data in all days. Spatial resolution has significantly improved over the decades and temporal resolution has improved from months to daily. Indian Remote Sensing programs are providing state of the art satellite data in optical and microwave wavelength regions to meet large land applications in the country. Today several remote sensing data is available as open data sources. Upcoming satellite remote sensing data will help in precise characterization and quantification of land resources to support in sustainable land development planning to meet future challenges.

APA, Harvard, Vancouver, ISO, and other styles

9

Schlüter, Norbert, and Georg Heygster. "Remote sensing of Antarctic clouds with infrared and passive microwave sensors." Meteorologische Zeitschrift 11, no. 1 (March 5, 2002): 21–36. http://dx.doi.org/10.1127/0941-2948/2002/0011-0021.

Full text

APA, Harvard, Vancouver, ISO, and other styles

10

Barsukov, I. A., V. V. Boldyrev, M. I. Gavrilov, G. E. Evseev, A. N. Egorov, P. A. Il’gasov, V. Yu Pantsov, et al. "Satellite Microwave Radiometry for Earth Remote Sensing." Rocket-space device engineering and information systems 8, no. 1 (2021): 11–23. http://dx.doi.org/10.30894/issn2409-0239.2021.8.1.11.23.

Full text

Abstract:

The issues of development of the direction of satellite microwave radiometry in Russia in the interests of operational meteorology and oceanography are considered. The analysis of the current state of Russian and foreign radiometric ERS equipment in the microwave range is carried out. The technical characteristics of onboard multichannel microwave radiometers, combining the functions of a scanner and a sounder, are analyzed. The issues of metrological support of microwave measurements of equipment installed on Russian satellites of the Meteor-M series are considered. The original method of internal calibration of the MTVZA-GYA microwave scanner/sounding device is analyzed in detail in order to form the antenna temperature scale. The MTVZA-GYA calibration unit measures the radiation intensity of two matched loads with known brightness temperatures (“hot” and “cold”). An on-board calibrator is used as a “hot” load, it serves as an imitator of an absolutely black body, its brightness temperature of which is in the range of 240–300 K. Absolute (external) calibration is a transition from antenna to brightness temperatures and is performed using high-precision radiation calculations for specially selected natural testing sites. The issues of preliminary processing of MTVZA-GYA data are considered and examples of microwave images of the Earth in the scale of brightness temperatures are given.

APA, Harvard, Vancouver, ISO, and other styles

11

Barber, David G. "Passive microwave remote sensing of oceans." Limnology and Oceanography 44, no. 3 (May 1999): 738. http://dx.doi.org/10.4319/lo.1999.44.3.0738.

Full text

APA, Harvard, Vancouver, ISO, and other styles

12

Koike, Tosio, and Tomoyuki Suhama. "Passive-microwave remote sensing of snow." Annals of Glaciology 18 (1993): 305–8. http://dx.doi.org/10.3189/s0260305500011691.

Full text

Abstract:

The radiative-transfer theory and the Rayleigh scattering model were used to obtain the microwave brightness temperatures from dry snowpacks on the ground, which was modelled by a scattering dielectric layer and an underlying homogeneous half-space. The total radio brightness at the radiometer was the sum of the direct and diffuse radiation field intensities. The result of the model application was in good agreement with the observational data, which were obtained through the airborne experiments for the MOS-1 Verification Program around Asahikawa, Hokkaido, Japan, in February 1988.

APA, Harvard, Vancouver, ISO, and other styles

13

Liao, S., N. Gopalsami, A. Heifetz, T. Elmer, P. Fiflis, E. R. Koehl, H. T. Chien, and A. C. Raptis. "Microwave Remote Sensing of Ionized Air." IEEE Geoscience and Remote Sensing Letters 8, no. 4 (July 2011): 617–20. http://dx.doi.org/10.1109/lgrs.2010.2098016.

Full text

APA, Harvard, Vancouver, ISO, and other styles

14

KOIKE, Tosio, Iwao GOTO, and Tomoyuki SUHAMA. "Passive Microwave Remote Sensing of Snowpacks." PROCEEDINGS OF HYDRAULIC ENGINEERING 35 (1991): 33–38. http://dx.doi.org/10.2208/prohe.35.33.

Full text

APA, Harvard, Vancouver, ISO, and other styles

15

Schumann, Guy J. P., and Delwyn K. Moller. "Microwave remote sensing of flood inundation." Physics and Chemistry of the Earth, Parts A/B/C 83-84 (2015): 84–95. http://dx.doi.org/10.1016/j.pce.2015.05.002.

Full text

APA, Harvard, Vancouver, ISO, and other styles

16

Koike, Tosio, and Tomoyuki Suhama. "Passive-microwave remote sensing of snow." Annals of Glaciology 18 (1993): 305–8. http://dx.doi.org/10.1017/s0260305500011691.

Full text

Abstract:

The radiative-transfer theory and the Rayleigh scattering model were used to obtain the microwave brightness temperatures from dry snowpacks on the ground, which was modelled by a scattering dielectric layer and an underlying homogeneous half-space. The total radio brightness at the radiometer was the sum of the direct and diffuse radiation field intensities. The result of the model application was in good agreement with the observational data, which were obtained through the airborne experiments for the MOS-1 Verification Program around Asahikawa, Hokkaido, Japan, in February 1988.

APA, Harvard, Vancouver, ISO, and other styles

17

Zeng, Jiangyuan, Jian Peng, Wei Zhao, Chunfeng Ma, and Hongliang Ma. "Microwave Remote Sensing of Soil Moisture." Remote Sensing 15, no. 17 (August 29, 2023): 4243. http://dx.doi.org/10.3390/rs15174243.

Full text

APA, Harvard, Vancouver, ISO, and other styles

18

Lin, Mingsen, and Yongjun Jia. "Past, Present and Future Marine Microwave Satellite Missions in China." Remote Sensing 14, no. 6 (March 9, 2022): 1330. http://dx.doi.org/10.3390/rs14061330.

Full text

Abstract:

Over the past 60 years, China has made fruitful achievements in the field of ocean microwave remote sensing satellite technology. A long-term plan has now been formulated for the development of Chinese ocean satellites, as well as the construction of a constellation of ocean dynamic environmental and ocean surveillance satellites. These will gradually form China’s ocean monitoring network from space, thereby playing important roles in future ocean resource and environmental monitoring, marine disaster prevention and reduction, and global climate change. In this review manuscript, the developmental history of ocean microwave satellites and the development status of oceanic microwave remote sensing satellites in China are reviewed. In addition, China’s achievements in the field of oceanic microwave remote sensing satellite technology are summarized, and the future development of China’s ocean microwave remote sensing satellite program is analysed.

APA, Harvard, Vancouver, ISO, and other styles

19

Magi, Brian I., Thomas Winesett, and Daniel J. Cecil. "Estimating Lightning from Microwave Remote Sensing Data." Journal of Applied Meteorology and Climatology 55, no. 9 (September 2016): 2021–36. http://dx.doi.org/10.1175/jamc-d-15-0306.1.

Full text

Abstract:

AbstractThis study evaluates a method for estimating the cloud-to-ground (CG) lightning flash rate from microwave remote sensing data. Defense Meteorological Satellite Program satellites have been in operation since 1987 and include global-viewing microwave sensors that capture thunderstorms as brightness temperature depressions. The National Lightning Detection Network (NLDN) has monitored CG lightning in the United States since 1997. This study investigates the relationship between CG lightning and microwave brightness temperature fields for the contiguous United States from April to September for the years 2005–12. The findings suggest that an exponential function, empirically fit to the NLDN and SSM/I data, provides lightning count measurements that agree to within 60%–70% with NLDN lightning, but with substantial misses and false alarms in the predictions. The discrepancies seem to be attributable to regional differences in thunderstorm characteristics that require a detailed study at smaller spatial scales to truly resolve, but snow at higher elevations also produces some anomalous microwave temperature depressions similar to those of thunderstorms. The results for the contiguous United States in this study are a step toward potentially using SSM/I data to estimate CG lightning around the world, although the sensitivity of the results to regional differences related to meteorological regimes would need further study.

APA, Harvard, Vancouver, ISO, and other styles

20

SATHIYAMOORTHY, V., B. SIMON, and P. C. JOSHI. "Application of microwave remote sensing data for Indian summer monsoon studies." MAUSAM 54, no. 1 (January 18, 2022): 197–204. http://dx.doi.org/10.54302/mausam.v54i1.1504.

Full text

Abstract:

Microwave remote sensing is increasingly being used for studying the atmospheric and oceanic processes for the last few decades. Advantage of the microwave sensors is that they can see through the clouds and to some extent rain. Monsoon studies received considerable thrust from microwave remote sensing because clouds cover most parts of Asia during the summer monsoon season and the visible and infrared sensors poorly perform over this region. This paper summarizes the significant results obtained towards the understanding and forecasting of Indian summer monsoon especially monsoon onset, intraseasonal oscillation of monsoon, diurnal variability of rainfall and boundary layer fluxes with the help of microwave remote sensing.

APA, Harvard, Vancouver, ISO, and other styles

21

Kaushik, Kavita, and Deepak Kumar. "Forest Disturbance Mapping with Microwave Remote Sensing." Journal of Landscape Ecology 13, no. 2 (September 1, 2020): 95–128. http://dx.doi.org/10.2478/jlecol-2020-0012.

Full text

Abstract:

AbstractIt is pre-requisite to conserve and protect the forest cover, therefore mapping of the forest distribution and monitoring of their temporal changes are also necessary. In the field of forestry, radar datasets have a high potential due to its ability to derive/extract information from the surface, sub-surface and even from the depth. The current work tries to utilize the capability of C-band radar datasets provided by Sentinel 1A/B mission to derive the required information for sensing the disturbances in the forest areas. Application of SAR or microwave remote sensing for forest disturbance mapping with dual-polarization is partially developed and have been attempted by limited researchers to process and interpret the derived results. Microwave datasets can map the areas with frequent cloud-cover due to its cloud penetrating capabilities in day-night operation mode. The present work tries to identify and locate the disturbances in forest areas to organize better understanding of detailed information for further analysis with the help of open archive microwave datasets incoherent to optical datasets.

APA, Harvard, Vancouver, ISO, and other styles

22

Lakshmi, Venkat. "Remote Sensing of Soil Moisture." ISRN Soil Science 2013 (March 7, 2013): 1–33. http://dx.doi.org/10.1155/2013/424178.

Full text

Abstract:

Soil moisture is an important variable in land surface hydrology as it controls the amount of water that infiltrates into the soil and replenishes the water table versus the amount that contributes to surface runoff and to channel flow. However observations of soil moisture at a point scale are very sparse and observing networks are expensive to maintain. Satellite sensors can observe large areas but the spatial resolution of these is dependent on microwave frequency, antenna dimensions, and height above the earth’s surface. The higher the sensor, the lower the spatial resolution and at low elevations the spacecraft would use more fuel. Higher spatial resolution requires larger diameter antennas that in turn require more fuel to maintain in space. Given these competing issues most passive radiometers have spatial resolutions in 10s of kilometers that are too coarse for catchment hydrology applications. Most local applications require higher-spatial-resolution soil moisture data. Downscaling of the data requires ancillary data and model products, all of which are used here to develop high-spatial-resolution soil moisture for catchment applications in hydrology. In this paper the author will outline and explain the methodology for downscaling passive microwave estimation of soil moisture.

APA, Harvard, Vancouver, ISO, and other styles

23

Palombo, Angelo, Stefano Pignatti, Angela Perrone, Francesco Soldovieri, Tony Alfredo Stabile, and Simone Pascucci. "Noninvasive Remote Sensing Techniques for Infrastructures Diagnostics." International Journal of Geophysics 2011 (2011): 1–9. http://dx.doi.org/10.1155/2011/204976.

Full text

Abstract:

The present paper aims at analyzing the potentialities of noninvasive remote sensing techniques used for detecting the conservation status of infrastructures. The applied remote sensing techniques are ground-based microwave radar interferometer and InfraRed Thermography (IRT) to study a particular structure planned and made in the framework of the ISTIMES project (funded by the European Commission in the frame of a joint Call “ICT and Security” of the Seventh Framework Programme). To exploit the effectiveness of the high-resolution remote sensing techniques applied we will use the high-frequency thermal camera to measure the structures oscillations by high-frequency analysis and ground-based microwave radar interferometer to measure the dynamic displacement of several points belonging to a large structure. The paper describes the preliminary research results and discusses on the future applicability and techniques developments for integrating high-frequency time series data of the thermal imagery and ground-based microwave radar interferometer data.

APA, Harvard, Vancouver, ISO, and other styles

24

Saha, S. K. "MICROWAVE REMOTE SENSING IN SOIL QUALITY ASSESSMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVIII-8/W20 (August 31, 2012): 34–39. http://dx.doi.org/10.5194/isprsarchives-xxxviii-8-w20-34-2011.

Full text

APA, Harvard, Vancouver, ISO, and other styles

25

Lahtinen, J., J. Pihlflyckt, I. Mononen, S. J. Tauriainen, M. Kemppinen, and M. T. Hallikainen. "Fully polarimetric microwave radiometer for remote sensing." IEEE Transactions on Geoscience and Remote Sensing 41, no. 8 (August 2003): 1869–78. http://dx.doi.org/10.1109/tgrs.2003.813847.

Full text

APA, Harvard, Vancouver, ISO, and other styles

26

VYAS, A. D., A. J. TRIVEDI, O. P. N. CALLA, S. S. RANA, and G. RAJU. "Passive microwave remote sensing of soil moisture." International Journal of Remote Sensing 6, no. 7 (July 1985): 1153–62. http://dx.doi.org/10.1080/01431168508948269.

Full text

APA, Harvard, Vancouver, ISO, and other styles

27

Fung, A. "Book review - Theory of microwave remote sensing." IEEE Antennas and Propagation Society Newsletter 28, no. 2 (1986): 25–26. http://dx.doi.org/10.1109/map.1986.27852.

Full text

APA, Harvard, Vancouver, ISO, and other styles

28

Wilson, William J. "Passive Microwave Remote Sensing of the Earth." Eos, Transactions American Geophysical Union 85, no. 42 (2004): 420. http://dx.doi.org/10.1029/2004eo420008.

Full text

APA, Harvard, Vancouver, ISO, and other styles

29

Njoku, Eni G., and Dara Entekhabi. "Passive microwave remote sensing of soil moisture." Journal of Hydrology 184, no. 1-2 (October 1996): 101–29. http://dx.doi.org/10.1016/0022-1694(95)02970-2.

Full text

APA, Harvard, Vancouver, ISO, and other styles

30

Sandells, Mel, Maria Hörhold, and Nick Rutter. "Understanding Snow Microstructure for Microwave Remote Sensing." Eos, Transactions American Geophysical Union 95, no. 47 (November 25, 2014): 432. http://dx.doi.org/10.1002/2014eo470005.

Full text

APA, Harvard, Vancouver, ISO, and other styles

31

Gentile, Carmelo, and Antonella Saisi. "Dynamic Testing of Masonry Towers Using the Microwave Interferometry." Key Engineering Materials 628 (August 2014): 198–203. http://dx.doi.org/10.4028/www.scientific.net/kem.628.198.

Full text

Abstract:

Microwave remote sensing is the most recent experimental methodology suitable to the non-contact measurement of deflections on large structures, in static or dynamic conditions. After a brief description of the radar measurement system, the paper addresses the application of microwave remote sensing in ambient vibration testing of two historic masonry towers.

APA, Harvard, Vancouver, ISO, and other styles

32

Anderson, K., and H. Croft. "Remote sensing of soil surface properties." Progress in Physical Geography: Earth and Environment 33, no. 4 (August 2009): 457–73. http://dx.doi.org/10.1177/0309133309346644.

Full text

Abstract:

Remote sensing is now in a strong position to provide meaningful spatial data for use in soil science investigations. In the last 10 years, advancements in remote sensing techniques and technologies have given rise to a wealth of exciting new research findings in soil-related disciplines. This paper provides a critical insight into the role played by remote sensing in this field, with a specific focus on soil surface monitoring. Two key soil properties are considered in this review, soil surface roughness and moisture, because these two variables have benefited most from recent cutting-edge advances in remote sensing. Of note is the fact that the major recent advancements in spatial assessment of soil structure have emerged from optical remote sensing, while the soil moisture community has benefited from advancements in microwave systems, justifying the focus of this paper in these specific directions. The paper considers the newest techniques within active, passive, optical and microwave remote sensing and concludes by considering future challenges, multisensor approaches and the issue of scale — which is a key cross-disciplinary research question of relevance to soil scientists and remote sensing scientists alike.

APA, Harvard, Vancouver, ISO, and other styles

33

CALLA, OPN, KISHANLAL GADRI, RAHUL SHARMA, SUNILKUMAR AGRAHARI, ABHISHEK KALLA, and GAURAV RATHORE. "Microwave remote sensing application for monitoring of floods." MAUSAM 65, no. 2 (April 1, 2014): 141–52. http://dx.doi.org/10.54302/mausam.v65i2.955.

Full text

Abstract:

Many times heavy and continuous rains give rise to flooding in the rivers. Devastating floods occurred in rivers Ganga and Kosi in Bihar (India) and in Damodar and Hooghly rivers in West Bengal (India) during 2011. In the present paper, passive microwave remote sensing data is utilized for detection and monitoring of floods that occurred in Darbhanga (Bihar) and Midnapore (West Bengal) India, in the year 2011during monsoon season. Special Sensor Microwave Imager Sounder (SSMIS) brightness temperature (Tb) data at 19 GHz & 91 GHz in both vertical and horizontal polarisations and Soil Moisture and Ocean Salinity (SMOS) Tb data at 1.4 GHz are used to detect and monitor the flood occurrences. An attempt has been made to detect and monitor the flood events using 19 GHz Tb, difference of 19 and 91 GHz Tbs, and 1.4 GHz Tb, with both horizontal and vertical polarizations. Highest sensitivity to flood occurrence is observed for (19 GHz - 91 GHz) Tbs in horizontal polarization. Flood affected areas are mapped using (19 GHz - 91 GHz) Tbhs (Brightness temperatures with horizontal polarisation) values and compared with the Radarsat-1 images to show a general agreement between passive and active microwave remote sensing data. The comparison also shows an over-estimation of flooded area from passive microwave data.

APA, Harvard, Vancouver, ISO, and other styles

34

Rostokin, I. N., E. V. Fedoseeva, E. A. Rostokina, and G. G. Shchukin. "Application of radiophotonics methods and devices in multifrequency microwave remote sensing radiometric systems." Journal of Physics: Conference Series 2388, no. 1 (December 1, 2022): 012087. http://dx.doi.org/10.1088/1742-6596/2388/1/012087.

Full text

Abstract:

Abstract The article considers the possibility of using methods and devices of radio-photonics in the composition of microwave radiometric systems for remote sensing of the atmosphere in order to significantly improve the basic tactical and technical characteristics of microwave radio-measuring equipment. The analysis of possible options for the use of radio photonics devices as part of multi-frequency microwave radiometric systems is carried out. The results of the structural study of a promising microwave radiometric system for remote sensing of the atmosphere are presented.

APA, Harvard, Vancouver, ISO, and other styles

35

Bernier, P. Y. "Microwave Remote Sensing of Snowpack Properties: Potential and Limitations." Hydrology Research 18, no. 1 (February 1, 1987): 1–20. http://dx.doi.org/10.2166/nh.1987.0001.

Full text

Abstract:

This review explores from a user's viewpoint the possibilities and limitations of microwave-based techniques for the remote sensing of snowpack properties. Mapping of dry snowpacks and detection of melt onset can be achieved with combinations of readings taken at different frequencies with passive microwave sensors. A combination of readings from both passive and active sensors coupled with ground truth data will be required to estimate snow water equivalent under most snow conditions. Snowpack structure and overlying vegetation still present major problems in the estimation of snowpack water equivalent from microwave remote sensing devices.

APA, Harvard, Vancouver, ISO, and other styles

36

Belgiu, Mariana, and Alfred Stein. "Spatiotemporal Image Fusion in Remote Sensing." Remote Sensing 11, no. 7 (April 4, 2019): 818. http://dx.doi.org/10.3390/rs11070818.

Full text

Abstract:

In this paper, we discuss spatiotemporal data fusion methods in remote sensing. These methods fuse temporally sparse fine-resolution images with temporally dense coarse-resolution images. This review reveals that existing spatiotemporal data fusion methods are mainly dedicated to blending optical images. There is a limited number of studies focusing on fusing microwave data, or on fusing microwave and optical images in order to address the problem of gaps in the optical data caused by the presence of clouds. Therefore, future efforts are required to develop spatiotemporal data fusion methods flexible enough to accomplish different data fusion tasks under different environmental conditions and using different sensors data as input. The review shows that additional investigations are required to account for temporal changes occurring during the observation period when predicting spectral reflectance values at a fine scale in space and time. More sophisticated machine learning methods such as convolutional neural network (CNN) represent a promising solution for spatiotemporal fusion, especially due to their capability to fuse images with different spectral values.

APA, Harvard, Vancouver, ISO, and other styles

37

Varotsos, Costas A., Vladimir F. Krapivin, and Ferdenant A. Mkrtchyan. "A New Passive Microwave Tool for Operational Forest Fires Detection: A Case Study of Siberia in 2019." Remote Sensing 12, no. 5 (March 5, 2020): 835. http://dx.doi.org/10.3390/rs12050835.

Full text

Abstract:

The purpose of this paper is to present a new method for early detection of forest fires, especially in forest zones prone to fires using microwave remote sensing and information-modeling tools. A decision-making system is developed as a tool for operational coupled analysis of modeling results and remote sensing data. The main operating structure of this system has blocks that calculate the moisture of forest canopy, the soil-litter layer, and the forest physical temperature using the observed brightness temperature provided by the flying platform IL-18 equipped with passive microwave radiometers of 1.43, 13.3 and 37.5 GHz frequencies. The hydrological parameters of the forest are assessed with both a developed regional hydrological model and remote sensing observations. The hydrological model allows for the detection of fire-prone zones that are subject to remote sensing when modeling results are corrected and thermal temperatures are evaluated. An approach for the real time forest fires classification via daytime remote sensing observations is proposed. The relative theoretical and experimental results presented here have allowed us to use a new approach to forests monitoring during periods of potential fire. A decision-making algorithm is presented that aims at analyzing data flows from radiometers located on the remote sensing platform to calculate the probability of forest fire occurring in geographical pixels. As case study, the state of forest fires that occurred in Siberia in 2019 using microwave remote sensing measurements conducted by a flying IL-18 laboratory is presented. This remote sensing platform is equipped with optical and microwave tools that allow the optical and microwave images of the observed forest areas. The main operating frequencies of microwave radiometers are 1.43, 13.3 and 37.5 GHz. Microwave radiometers provide data on water content in the forest canopy and on litter and physical temperatures. Based on the long-term measurements made in Siberia, the possible improvement of the proposed decision-making system for future relevant studies is discussed in detail. The basic idea of cost-effective monitoring of forested areas consists of a two-stage exploration of fire risk zones. The first monitoring stage is performed using the hydrological model of the study area to identify low moisture areas of the forest canopy and litter. The second stage of monitoring is conducted using the remote sensing platform only in the local fire-dangerous areas in order to more precisely identify the areas prone to fire and to detect and diagnose real burning zones. The developed algorithm allows the calculation of physical temperatures and the detection of temperature anomalies based on measured brightness temperatures. Finally, the spatial distribution of the probability of forest fire occurrence is given as an example of the decision-making system along with a comparison of this distribution with the satellite images provided by the EOSDIS Land data.

APA, Harvard, Vancouver, ISO, and other styles

38

Watson, Ken. "Remote sensing—A geophysical perspective." GEOPHYSICS 50, no. 12 (December 1985): 2595–610. http://dx.doi.org/10.1190/1.1441885.

Full text

Abstract:

In this review of developments in the field of remote sensing from a geophysical perspective, the subject is limited to the electromagnetic spectrum from 0.4 μm to 25 cm. Three broad energy categories are covered: solar reflected, thermal infrared, and microwave. The reflected solar region has been the most intensely studied. Photointerpretation of images from individual spectral bands or from color composites remains the most widely used method of analysis. New instrumentation and digital processing, based on analysis of laboratory and field spectra, provide significant advances that are beginning to be applied to resource exploration. Color compositing techniques have been effectively used to detect the characteristic spectral reflectance features of iron oxides and hydroxyl‐bearing materials in satellite multispectral data for mapping areas of hydrothermal alteration. Airborne spectrometers can now detect individual spectral features of many minerals which are diagnostic of different stages of hydrothermal alteration. Evolution was from discrimination, based on empirical experience, to mineralogic identification and leading to quantification. Current developments also indicate new, promising extensions to vegetated terrains. Advances in thermal infrared studies are due to development of thermal models that permit mapping of physical property variations and to detection of spectral differences that provide important compositional information. Analysis techniques are still in their infancy, and thermal satellite data remain appropriate only for regional investigations. Microwave data have been acquired mainly with radar systems, which can provide very high resolution from space, but use of textural and slope information has had limited application. Long‐wavelength radiation has been shown to penetrate dry materials, and this may be applicable in extremely arid regions.

APA, Harvard, Vancouver, ISO, and other styles

39

Paloscia, Simonetta, Paolo Pampaloni, and Emanuele Santi. "Radiometric Microwave Indices for Remote Sensing of Land Surfaces." Remote Sensing 10, no. 12 (November 22, 2018): 1859. http://dx.doi.org/10.3390/rs10121859.

Full text

Abstract:

This work presents an overview of the potential of microwave indices obtained from multi-frequency/polarization radiometry in detecting the characteristics of land surfaces, in particular soil covered by vegetation or snow and agricultural bare soils. Experimental results obtained with ground-based radiometers on different types of natural surfaces by the Microwave Remote Sensing Group of IFAC-CNR starting from ‘80s, are summarized and interpreted by means of theoretical models. It has been pointed out that, with respect to single frequency/polarization observations, microwave indices revealed a higher sensitivity to some significant parameters, which characterize the hydrological cycle, namely: soil moisture, vegetation biomass and snow depth or snow water equivalent. Electromagnetic models have then been used for simulating brightness temperature and microwave indices from land surfaces. As per vegetation covered soils, the well-known tau-omega (τ-ω) model based on the radiative transfer theory has been used, whereas terrestrial snow cover has been simulated using a multi-layer dense-medium radiative transfer model (DMRT). On the basis of these results, operational inversion algorithms for the retrieval of those hydrological quantities have been successfully implemented using multi-channel data from the microwave radiometric sensors operating from satellite.

APA, Harvard, Vancouver, ISO, and other styles

40

Martínez-Ros, Alejandro Javier, and Armando Fernandez-Prieto. "Passive Planar Microwave Devices." Applied Sciences 12, no. 9 (April 28, 2022): 4444. http://dx.doi.org/10.3390/app12094444.

Full text

APA, Harvard, Vancouver, ISO, and other styles

41

Kämpfer, N., B. Deuber, D. Feist, D. Gerber, C. Mätzler, L. Martin, J. Morland, and V. Vasic. "Microwave remote sensing of water vapor in the atmosphere." Geographica Helvetica 58, no. 2 (June 30, 2003): 81–89. http://dx.doi.org/10.5194/gh-58-81-2003.

Full text

Abstract:

Abstract. Water vapor in the atmosphere plays a crucial role in climate and in atmospheric processes. Due to its long chemical lifetime it can be used as a tracer for investigations of dynamical processes in the middle atmosphere. Microwave radiometry is one of the few remote sensing methods which is capable of inferring Information on the water vapor content of the troposphere to the mesosphere, however with a different altitude resolution. Different microwave radiometers that can be operated from the ground and from an airborne platform have been built at the Institute of Applied Physics, University of Berne. The paper presents the method of microwave remote sensing and gives an overview of recently achieved results with regard to water vapor distribution as a function of altitude and Iatitude. First results of an imaging radiometer for the two dimensional distribution of liquid water is presented.

APA, Harvard, Vancouver, ISO, and other styles

42

Knyazkov, Dmitri. "Simulation of Microwave Remote Sensing of the Ocean." IFAC-PapersOnLine 55, no. 20 (2022): 19–24. http://dx.doi.org/10.1016/j.ifacol.2022.09.066.

Full text

APA, Harvard, Vancouver, ISO, and other styles

43

Migliaccio, Maurizio, Andrea Buono, and Matteo Alparone. "Microwave satellite remote sensing for a sustainable sea." European Journal of Remote Sensing 55, no. 1 (October 11, 2022): 507–19. http://dx.doi.org/10.1080/22797254.2022.2126798.

Full text

APA, Harvard, Vancouver, ISO, and other styles

44

Mattia, Francesco, Giuseppe Satalino, and Simonetta Paloscia. "Introduction to the thematic issue: Microwave remote sensing." European Journal of Remote Sensing 46, no. 1 (January 2013): 719–20. http://dx.doi.org/10.5721/eujrs20134642.

Full text

APA, Harvard, Vancouver, ISO, and other styles

45

MUSIAKE, Katumi, Taikan OKI, Tosiyuki NAKAEGAWA, and Masahiro KOIKE. "Soil Moisture Measurement using Active Microwave Remote Sensing." Journal of Japan Society of Hydrology and Water Resources 10, no. 6 (1997): 597–606. http://dx.doi.org/10.3178/jjshwr.10.597.

Full text

APA, Harvard, Vancouver, ISO, and other styles

46

Swift, C. T., and D. J. Cavalieri. "Passive microwave remote sensing for sea ice research." Eos, Transactions American Geophysical Union 66, no. 49 (1985): 1210. http://dx.doi.org/10.1029/eo066i049p01210.

Full text

APA, Harvard, Vancouver, ISO, and other styles

47

Engman, Edwin T. "Progress in Microwave Remote Sensing of Soil Moisture." Canadian Journal of Remote Sensing 16, no. 3 (October 1990): 6–14. http://dx.doi.org/10.1080/07038992.1990.11487620.

Full text

APA, Harvard, Vancouver, ISO, and other styles

48

Kaempfer, Niklaus A. "Microwave remote sensing of the atmosphere in Switzerland." Optical Engineering 34, no. 8 (August 1, 1995): 2413. http://dx.doi.org/10.1117/12.205666.

Full text

APA, Harvard, Vancouver, ISO, and other styles

49

Milman, Andrew S. "Sparse-aperture microwave radiometers for Earth remote sensing." Radio Science 23, no. 2 (March 1988): 193–205. http://dx.doi.org/10.1029/rs023i002p00193.

Full text

APA, Harvard, Vancouver, ISO, and other styles

50

CIHLAR, J., R. J. BROWN, and B. GUINDON. "Microwave remote sensing of agricultural crops in canada." International Journal of Remote Sensing 7, no. 2 (February 1986): 195–212. http://dx.doi.org/10.1080/01431168608954676.

Full text

APA, Harvard, Vancouver, ISO, and other styles

Journal articles on the topic 'Microwave remote sensing'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles