Soil Moisture Remote Sensing: State-of-the-Science

نویسندگان

  • Binayak P. Mohanty
  • Michael H. Cosh
  • Venkat Lakshmi
  • Carsten Montzka
چکیده

This is an update to the special section “Remote Sensing for Vadose Zone Hydrology—A Synthesis from the Vantage Point” [Vadose Zone Journal 12(3)]. Satellites (e.g., Soil Moisture Active Passive [SMAP] and Soil Moisture and Ocean Salinity [SMOS]) using passive microwave techniques, in particular at L-band frequency, have shown good promise for global mapping of near-surface (0–5-cm) soil moisture at a spatial resolution of 25 to 40 km and temporal resolution of 2 to 3 d. Cand X-band soil moisture records date back to 1978, making available an invaluable data set for long-term climate research. Near-surface soil moisture is further extended to the root zone (top 1 m) using process-based models and data assimilation schemes. Validation of remotely sensed soil moisture products has been ongoing using core monitoring sites, sparse monitoring networks, intensive field campaigns, as well as multi-satellite comparison studies. To transfer empirical observations across space and time scales and to develop improved retrieval algorithms at various resolutions, several efforts are underway to associate soil moisture variability dynamics with land surface attributes in various energyand water-rich environments. We describe the most recent scientific and technological advances in soil moisture remote sensing. We anticipate that remotely sensed soil moisture will find many applications in vadose zone hydrology in the coming decades.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Soil Moisture Estimation in Rangelands Using Remote Sensing (Case Study: Malayer, West of Iran)

Soil moisture is generally regarded as the limiting factors in rangeland production. Although many studies have been conducted to estimate soil moisture in semiarid areas, there is little information on mountainous rangelands in west of Iran. The present study aims to investigate the soil moisture estimation in rangelands as compared to the other land uses over a mountainous area in central Zag...

متن کامل

Estimation of soil moisture using optical, thermal and radar Remote Sensing )Case Study: South of Tehran(

Traditional methods of field measurement of soil moisture in addition to the difficulty, the need for manpower and money and fail to take place on a large scale to be able to show moisture. Therefore, remote sensing has become a widespread use .Landsat 8 satellite data and Sentinel-1 radar satellite from Tehran were provided. 72 soil samples were taken at the same time by satellite passing from...

متن کامل

Remote sensing application in evaluation of soil characteristics in desert areas

Soil is one of the most important natural resources covering a large area of the land surface. Soil plays a vital role in biosphere processes, such as energy balance, hydrology, biochemistry, and biological productivity. It supports plants that supply foods, fibers, drugs, and some other human needs. Conversely, desert regions include about one third of earth lands and these regions have increa...

متن کامل

DETERMINATION OF SENSOR LOCATIONS FOR MONITORING OF ORCHARDS PARAMETERS USING REMOTE SENSING AND GIS

Optimal management of the farm and increasing production efficiency can be achieved by collecting accurate and appropriate information from the fields. The aim of this study is to determine the location of soil moisture sensors in pistachio orchards. For this purpose, initial information was obtained using satellite image processing. Then, using clustering method the information was clustered t...

متن کامل

Volumetric soil moisture estimation using Sentinel 1 and 2 satellite images

Surface soil moisture is an important variable that plays a crucial role in the management of water and soil resources. Estimating this parameter is one of the important applications of remote sensing. One of the remote sensing techniques for precise estimation of this parameter is data-driven models. In this study, volumetric soil moisture content was estimated using data-driven models, suppor...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2017