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DTSTART;TZID=Australia/Melbourne:20260422T140000
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DESCRIPTION:The NASA–ISRO Synthetic Aperture Radar (NISAR) mission\, laun
 ched on July 30\, 2025\, provides global observations of Earth’s land su
 rface dynamics that support multiple Earth science disciplines. NISAR deli
 vers a global 200‑m soil moisture product with a 12‑day revisit (6 day
 s when combining ascending and descending passes) and a target accuracy of
  0.06 m³/m³ in regions with vegetation water content below 5 kg/m².
 \n\nAccurate soil moisture estimates are essential for improving crop mode
 ling because they control near-surface water and energy exchanges and infl
 uence plant water and nutrient uptake. The Agriculture Land Information Sy
 stem (AgLIS) integrates the Noah‑MP hydrology model with the DSSAT crop 
 model to represent hydrologic and crop growth processes more realistically
 . AgLIS provides a robust framework for agricultural productivity assessme
 nt and decision-making. Results from Iowa and Illinois demonstrate the val
 ue of remotely sensed soil moisture and LAI for improving agricultural yie
 ld estimates.\n\nScience Lecture Theatres S9\, Building 25\, 16 Rainforest
  Walk\, Clayton\, Victoria\, Australia\, Virtual: https://events.vtools.ie
 ee.org/m/556335
LOCATION:Science Lecture Theatres S9\, Building 25\, 16 Rainforest Walk\, C
 layton\, Victoria\, Australia\, Virtual: https://events.vtools.ieee.org/m/
 556335
ORGANIZER:lixiaozhou.zhou@monash.edu
SEQUENCE:24
SUMMARY:GRSS - Seminar by NASA Scientist Dr. Rajat Bindlish: Advances in Hi
 gh Resolution Soil Moisture Remote Sensing and Its Applications
URL;VALUE=URI:https://events.vtools.ieee.org/m/556335
X-ALT-DESC:Description: <br /><p>The NASA&ndash\;ISRO Synthetic Aperture Ra
 dar (NISAR) mission\, launched on July 30\, 2025\, provides global observa
 tions of Earth&rsquo\;s land surface dynamics that support multiple Earth 
 science disciplines. NISAR delivers a global 200‑m soil moisture product
  with a 12‑day revisit (6 days when combining ascending and descending p
 asses) and a target accuracy of 0.06 m&sup3\;/m&sup3\; in regions with v
 egetation water content below 5 kg/m&sup2\;.</p>\n<p>Accurate soil moist
 ure estimates are essential for improving crop modeling because they contr
 ol near-surface water and energy exchanges and influence plant water and n
 utrient uptake. The Agriculture Land Information System (AgLIS) integrates
  the Noah‑MP hydrology model with the DSSAT crop model to represent hydr
 ologic and crop growth processes more realistically. AgLIS provides a robu
 st framework for agricultural productivity assessment and decision-making.
  Results from Iowa and Illinois demonstrate the value of remotely sensed s
 oil moisture and LAI for improving agricultural yield estimates.</p>
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